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Update docs and consistency

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This commit is contained in:
Ines Montani 2020-07-29 15:14:07 +02:00
parent 62266fb828
commit b0f57a0cac
25 changed files with 646 additions and 298 deletions
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13
spacy/language.py
View File

@ -49,6 +49,7 @@ class BaseDefaults:
overwritten by language subclasses by defining their own subclasses of
Language.Defaults.
"""
config: Config = Config()
tokenizer_exceptions: Dict[str, List[dict]] = BASE_EXCEPTIONS
prefixes: Optional[List[Union[str, Pattern]]] = TOKENIZER_PREFIXES
@ -67,6 +68,7 @@ def create_tokenizer() -> Callable[["Language"], Tokenizer]:
"""Registered function to create a tokenizer. Returns a factory that takes
the nlp object and returns a Tokenizer instance using the language detaults.
"""
def tokenizer_factory(nlp: "Language") -> Tokenizer:
prefixes = nlp.Defaults.prefixes
suffixes = nlp.Defaults.suffixes
@ -1432,7 +1434,9 @@ class Language:
nlp.resolved = resolved
return nlp
def to_disk(self, path: Union[str, Path], exclude: Iterable[str] = tuple()) -> None:
def to_disk(
self, path: Union[str, Path], *, exclude: Iterable[str] = tuple()
) -> None:
"""Save the current state to a directory. If a model is loaded, this
will include the model.
@ -1461,7 +1465,7 @@ class Language:
util.to_disk(path, serializers, exclude)
def from_disk(
self, path: Union[str, Path], exclude: Iterable[str] = tuple()
self, path: Union[str, Path], *, exclude: Iterable[str] = tuple()
) -> "Language":
"""Loads state from a directory. Modifies the object in place and
returns it. If the saved `Language` object contains a model, the
@ -1512,7 +1516,7 @@ class Language:
self._link_components()
return self
def to_bytes(self, exclude: Iterable[str] = tuple()) -> bytes:
def to_bytes(self, *, exclude: Iterable[str] = tuple()) -> bytes:
"""Serialize the current state to a binary string.
exclude (list): Names of components or serialization fields to exclude.
@ -1534,7 +1538,7 @@ class Language:
return util.to_bytes(serializers, exclude)
def from_bytes(
self, bytes_data: bytes, exclude: Iterable[str] = tuple()
self, bytes_data: bytes, *, exclude: Iterable[str] = tuple()
) -> "Language":
"""Load state from a binary string.
@ -1583,6 +1587,7 @@ class FactoryMeta:
created whenever a component is defined and stored on the Language class for
each component instance and factory instance.
"""
factory: str
default_config: Optional[Dict[str, Any]] = None # noqa: E704
assigns: Iterable[str] = tuple()

6
spacy/pipeline/entity_linker.py
View File

@ -400,7 +400,9 @@ class EntityLinker(Pipe):
for token in ent:
token.ent_kb_id_ = kb_id
def to_disk(self, path: Union[str, Path], exclude: Iterable[str] = tuple()) -> None:
def to_disk(
self, path: Union[str, Path], *, exclude: Iterable[str] = tuple()
) -> None:
"""Serialize the pipe to disk.
path (str / Path): Path to a directory.
@ -417,7 +419,7 @@ class EntityLinker(Pipe):
util.to_disk(path, serialize, exclude)
def from_disk(
self, path: Union[str, Path], exclude: Iterable[str] = tuple()
self, path: Union[str, Path], *, exclude: Iterable[str] = tuple()
) -> "EntityLinker":
"""Load the pipe from disk. Modifies the object in place and returns it.

10
spacy/pipeline/entityruler.py
View File

@ -315,7 +315,7 @@ class EntityRuler:
return Scorer.score_spans(examples, "ents", **kwargs)
def from_bytes(
self, patterns_bytes: bytes, exclude: Iterable[str] = tuple()
self, patterns_bytes: bytes, *, exclude: Iterable[str] = tuple()
) -> "EntityRuler":
"""Load the entity ruler from a bytestring.
@ -339,7 +339,7 @@ class EntityRuler:
self.add_patterns(cfg)
return self
def to_bytes(self, exclude: Iterable[str] = tuple()) -> bytes:
def to_bytes(self, *, exclude: Iterable[str] = tuple()) -> bytes:
"""Serialize the entity ruler patterns to a bytestring.
RETURNS (bytes): The serialized patterns.
@ -355,7 +355,7 @@ class EntityRuler:
return srsly.msgpack_dumps(serial)
def from_disk(
self, path: Union[str, Path], exclude: Iterable[str] = tuple()
self, path: Union[str, Path], *, exclude: Iterable[str] = tuple()
) -> "EntityRuler":
"""Load the entity ruler from a file. Expects a file containing
newline-delimited JSON (JSONL) with one entry per line.
@ -391,7 +391,9 @@ class EntityRuler:
from_disk(path, deserializers_patterns, {})
return self
def to_disk(self, path: Union[str, Path], exclude: Iterable[str] = tuple()) -> None:
def to_disk(
self, path: Union[str, Path], *, exclude: Iterable[str] = tuple()
) -> None:
"""Save the entity ruler patterns to a directory. The patterns will be
saved as newline-delimited JSON (JSONL).

8
spacy/pipeline/morphologizer.pyx
View File

@ -230,7 +230,7 @@ class Morphologizer(Tagger):
"morph", **kwargs))
return results
def to_bytes(self, exclude=tuple()):
def to_bytes(self, *, exclude=tuple()):
"""Serialize the pipe to a bytestring.
exclude (Iterable[str]): String names of serialization fields to exclude.
@ -244,7 +244,7 @@ class Morphologizer(Tagger):
serialize["cfg"] = lambda: srsly.json_dumps(self.cfg)
return util.to_bytes(serialize, exclude)
def from_bytes(self, bytes_data, exclude=tuple()):
def from_bytes(self, bytes_data, *, exclude=tuple()):
"""Load the pipe from a bytestring.
bytes_data (bytes): The serialized pipe.
@ -267,7 +267,7 @@ class Morphologizer(Tagger):
util.from_bytes(bytes_data, deserialize, exclude)
return self
def to_disk(self, path, exclude=tuple()):
def to_disk(self, path, *, exclude=tuple()):
"""Serialize the pipe to disk.
path (str / Path): Path to a directory.
@ -282,7 +282,7 @@ class Morphologizer(Tagger):
}
util.to_disk(path, serialize, exclude)
def from_disk(self, path, exclude=tuple()):
def from_disk(self, path, *, exclude=tuple()):
"""Load the pipe from disk. Modifies the object in place and returns it.
path (str / Path): Path to a directory.

8
spacy/pipeline/pipe.pyx
View File

@ -180,7 +180,7 @@ class Pipe:
"""
return {}
def to_bytes(self, exclude=tuple()):
def to_bytes(self, *, exclude=tuple()):
"""Serialize the pipe to a bytestring.
exclude (Iterable[str]): String names of serialization fields to exclude.
@ -195,7 +195,7 @@ class Pipe:
serialize["vocab"] = self.vocab.to_bytes
return util.to_bytes(serialize, exclude)
def from_bytes(self, bytes_data, exclude=tuple()):
def from_bytes(self, bytes_data, *, exclude=tuple()):
"""Load the pipe from a bytestring.
exclude (Iterable[str]): String names of serialization fields to exclude.
@ -218,7 +218,7 @@ class Pipe:
util.from_bytes(bytes_data, deserialize, exclude)
return self
def to_disk(self, path, exclude=tuple()):
def to_disk(self, path, *, exclude=tuple()):
"""Serialize the pipe to disk.
path (str / Path): Path to a directory.
@ -232,7 +232,7 @@ class Pipe:
serialize["model"] = lambda p: self.model.to_disk(p)
util.to_disk(path, serialize, exclude)
def from_disk(self, path, exclude=tuple()):
def from_disk(self, path, *, exclude=tuple()):
"""Load the pipe from disk.
path (str / Path): Path to a directory.

8
spacy/pipeline/sentencizer.pyx
View File

@ -162,7 +162,7 @@ class Sentencizer(Pipe):
del results["sents_per_type"]
return results
def to_bytes(self, exclude=tuple()):
def to_bytes(self, *, exclude=tuple()):
"""Serialize the sentencizer to a bytestring.
RETURNS (bytes): The serialized object.
@ -171,7 +171,7 @@ class Sentencizer(Pipe):
"""
return srsly.msgpack_dumps({"punct_chars": list(self.punct_chars)})
def from_bytes(self, bytes_data, exclude=tuple()):
def from_bytes(self, bytes_data, *, exclude=tuple()):
"""Load the sentencizer from a bytestring.
bytes_data (bytes): The data to load.
@ -183,7 +183,7 @@ class Sentencizer(Pipe):
self.punct_chars = set(cfg.get("punct_chars", self.default_punct_chars))
return self
def to_disk(self, path, exclude=tuple()):
def to_disk(self, path, *, exclude=tuple()):
"""Serialize the sentencizer to disk.
DOCS: https://spacy.io/api/sentencizer#to_disk
@ -193,7 +193,7 @@ class Sentencizer(Pipe):
srsly.write_json(path, {"punct_chars": list(self.punct_chars)})
def from_disk(self, path, exclude=tuple()):
def from_disk(self, path, *, exclude=tuple()):
"""Load the sentencizer from disk.
DOCS: https://spacy.io/api/sentencizer#from_disk

8
spacy/pipeline/senter.pyx
View File

@ -157,7 +157,7 @@ class SentenceRecognizer(Tagger):
del results["sents_per_type"]
return results
def to_bytes(self, exclude=tuple()):
def to_bytes(self, *, exclude=tuple()):
"""Serialize the pipe to a bytestring.
exclude (Iterable[str]): String names of serialization fields to exclude.
@ -171,7 +171,7 @@ class SentenceRecognizer(Tagger):
serialize["cfg"] = lambda: srsly.json_dumps(self.cfg)
return util.to_bytes(serialize, exclude)
def from_bytes(self, bytes_data, exclude=tuple()):
def from_bytes(self, bytes_data, *, exclude=tuple()):
"""Load the pipe from a bytestring.
bytes_data (bytes): The serialized pipe.
@ -194,7 +194,7 @@ class SentenceRecognizer(Tagger):
util.from_bytes(bytes_data, deserialize, exclude)
return self
def to_disk(self, path, exclude=tuple()):
def to_disk(self, path, *, exclude=tuple()):
"""Serialize the pipe to disk.
path (str / Path): Path to a directory.
@ -209,7 +209,7 @@ class SentenceRecognizer(Tagger):
}
util.to_disk(path, serialize, exclude)
def from_disk(self, path, exclude=tuple()):
def from_disk(self, path, *, exclude=tuple()):
"""Load the pipe from disk. Modifies the object in place and returns it.
path (str / Path): Path to a directory.

8
spacy/pipeline/tagger.pyx
View File

@ -370,7 +370,7 @@ class Tagger(Pipe):
scores.update(Scorer.score_token_attr(examples, "lemma", **kwargs))
return scores
def to_bytes(self, exclude=tuple()):
def to_bytes(self, *, exclude=tuple()):
"""Serialize the pipe to a bytestring.
exclude (Iterable[str]): String names of serialization fields to exclude.
@ -388,7 +388,7 @@ class Tagger(Pipe):
serialize["morph_rules"] = lambda: srsly.msgpack_dumps(morph_rules)
return util.to_bytes(serialize, exclude)
def from_bytes(self, bytes_data, exclude=tuple()):
def from_bytes(self, bytes_data, *, exclude=tuple()):
"""Load the pipe from a bytestring.
bytes_data (bytes): The serialized pipe.
@ -424,7 +424,7 @@ class Tagger(Pipe):
util.from_bytes(bytes_data, deserialize, exclude)
return self
def to_disk(self, path, exclude=tuple()):
def to_disk(self, path, *, exclude=tuple()):
"""Serialize the pipe to disk.
path (str / Path): Path to a directory.
@ -443,7 +443,7 @@ class Tagger(Pipe):
}
util.to_disk(path, serialize, exclude)
def from_disk(self, path, exclude=tuple()):
def from_disk(self, path, *, exclude=tuple()):
"""Load the pipe from disk. Modifies the object in place and returns it.
path (str / Path): Path to a directory.

8
spacy/tokenizer.pyx
View File

@ -728,7 +728,7 @@ cdef class Tokenizer:
with path.open("wb") as file_:
file_.write(self.to_bytes(**kwargs))
def from_disk(self, path, **kwargs):
def from_disk(self, path, *, exclude=tuple()):
"""Loads state from a directory. Modifies the object in place and
returns it.
@ -741,10 +741,10 @@ cdef class Tokenizer:
path = util.ensure_path(path)
with path.open("rb") as file_:
bytes_data = file_.read()
self.from_bytes(bytes_data, **kwargs)
self.from_bytes(bytes_data, exclude=exclude)
return self
def to_bytes(self, exclude=tuple()):
def to_bytes(self, *, exclude=tuple()):
"""Serialize the current state to a binary string.
exclude (list): String names of serialization fields to exclude.
@ -763,7 +763,7 @@ cdef class Tokenizer:
}
return util.to_bytes(serializers, exclude)
def from_bytes(self, bytes_data, exclude=tuple()):
def from_bytes(self, bytes_data, *, exclude=tuple()):
"""Load state from a binary string.
bytes_data (bytes): The data to load from.

28
spacy/tokens/doc.pyx
View File

@ -987,20 +987,20 @@ cdef class Doc:
other.c = &tokens[PADDING]
return other
def to_disk(self, path, **kwargs):
def to_disk(self, path, *, exclude=tuple()):
"""Save the current state to a directory.
path (str / Path): A path to a directory, which will be created if
it doesn't exist. Paths may be either strings or Path-like objects.
exclude (list): String names of serialization fields to exclude.
exclude (Iterable[str]): String names of serialization fields to exclude.
DOCS: https://spacy.io/api/doc#to_disk
"""
path = util.ensure_path(path)
with path.open("wb") as file_:
file_.write(self.to_bytes(**kwargs))
file_.write(self.to_bytes(exclude=exclude))
def from_disk(self, path, **kwargs):
def from_disk(self, path, *, exclude=tuple()):
"""Loads state from a directory. Modifies the object in place and
returns it.
@ -1014,9 +1014,9 @@ cdef class Doc:
path = util.ensure_path(path)
with path.open("rb") as file_:
bytes_data = file_.read()
return self.from_bytes(bytes_data, **kwargs)
return self.from_bytes(bytes_data, exclude=exclude)
def to_bytes(self, exclude=tuple(), **kwargs):
def to_bytes(self, *, exclude=tuple()):
"""Serialize, i.e. export the document contents to a binary string.
exclude (list): String names of serialization fields to exclude.
@ -1025,9 +1025,9 @@ cdef class Doc:
DOCS: https://spacy.io/api/doc#to_bytes
"""
return srsly.msgpack_dumps(self.to_dict(exclude=exclude, **kwargs))
return srsly.msgpack_dumps(self.to_dict(exclude=exclude))
def from_bytes(self, bytes_data, exclude=tuple(), **kwargs):
def from_bytes(self, bytes_data, *, exclude=tuple()):
"""Deserialize, i.e. import the document contents from a binary string.
data (bytes): The string to load from.
@ -1036,13 +1036,9 @@ cdef class Doc:
DOCS: https://spacy.io/api/doc#from_bytes
"""
return self.from_dict(
srsly.msgpack_loads(bytes_data),
exclude=exclude,
**kwargs
)
return self.from_dict(srsly.msgpack_loads(bytes_data), exclude=exclude)
def to_dict(self, exclude=tuple(), **kwargs):
def to_dict(self, *, exclude=tuple()):
"""Export the document contents to a dictionary for serialization.
exclude (list): String names of serialization fields to exclude.
@ -1090,14 +1086,14 @@ cdef class Doc:
serializers["user_data_values"] = lambda: srsly.msgpack_dumps(user_data_values)
return util.to_dict(serializers, exclude)
def from_dict(self, msg, exclude=tuple(), **kwargs):
def from_dict(self, msg, *, exclude=tuple()):
"""Deserialize, i.e. import the document contents from a binary string.
data (bytes): The string to load from.
exclude (list): String names of serialization fields to exclude.
RETURNS (Doc): Itself.
DOCS: https://spacy.io/api/doc#from_bytes
DOCS: https://spacy.io/api/doc#from_dict
"""
if self.length != 0:
raise ValueError(Errors.E033.format(length=self.length))

8
spacy/vocab.pyx
View File

@ -439,7 +439,7 @@ cdef class Vocab:
orth = self.strings.add(orth)
return orth in self.vectors
def to_disk(self, path, exclude=tuple()):
def to_disk(self, path, *, exclude=tuple()):
"""Save the current state to a directory.
path (unicode or Path): A path to a directory, which will be created if
@ -459,7 +459,7 @@ cdef class Vocab:
if "lookups" not in "exclude" and self.lookups is not None:
self.lookups.to_disk(path)
def from_disk(self, path, exclude=tuple()):
def from_disk(self, path, *, exclude=tuple()):
"""Loads state from a directory. Modifies the object in place and
returns it.
@ -488,7 +488,7 @@ cdef class Vocab:
self._by_orth = PreshMap()
return self
def to_bytes(self, exclude=tuple()):
def to_bytes(self, *, exclude=tuple()):
"""Serialize the current state to a binary string.
exclude (list): String names of serialization fields to exclude.
@ -509,7 +509,7 @@ cdef class Vocab:
}
return util.to_bytes(getters, exclude)
def from_bytes(self, bytes_data, exclude=tuple()):
def from_bytes(self, bytes_data, *, exclude=tuple()):
"""Load state from a binary string.
bytes_data (bytes): The data to load from.

40
website/docs/api/dependencyparser.md
View File

@ -290,10 +290,11 @@ Serialize the pipe to disk.
> parser.to_disk("/path/to/parser")
> ```
| Name | Type | Description |
| --------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| Name | Type | Description |
| -------------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
## DependencyParser.from_disk {#from_disk tag="method"}
@ -306,11 +307,12 @@ Load the pipe from disk. Modifies the object in place and returns it.
> parser.from_disk("/path/to/parser")
> ```
| Name | Type | Description |
| ----------- | ------------------ | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `DependencyParser` | The modified `DependencyParser` object. |
| Name | Type | Description |
| -------------- | ------------------ | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `DependencyParser` | The modified `DependencyParser` object. |
## DependencyParser.to_bytes {#to_bytes tag="method"}
@ -323,10 +325,11 @@ Load the pipe from disk. Modifies the object in place and returns it.
Serialize the pipe to a bytestring.
| Name | Type | Description |
| ----------- | --------------- | ------------------------------------------------------------------------- |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `DependencyParser` object. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `DependencyParser` object. |
## DependencyParser.from_bytes {#from_bytes tag="method"}
@ -340,11 +343,12 @@ Load the pipe from a bytestring. Modifies the object in place and returns it.
> parser.from_bytes(parser_bytes)
> ```
| Name | Type | Description |
| ------------ | ------------------ | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `DependencyParser` | The `DependencyParser` object. |
| Name | Type | Description |
| -------------- | ------------------ | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `DependencyParser` | The `DependencyParser` object. |
## DependencyParser.labels {#labels tag="property"}

40
website/docs/api/doc.md
View File

@ -385,10 +385,11 @@ Save the current state to a directory.
> doc.to_disk("/path/to/doc")
> ```
| Name | Type | Description |
| --------- | ------------ | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. |
| Name | Type | Description |
| -------------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
## Doc.from_disk {#from_disk tag="method" new="2"}
@ -402,11 +403,12 @@ Loads state from a directory. Modifies the object in place and returns it.
> doc = Doc(Vocab()).from_disk("/path/to/doc")
> ```
| Name | Type | Description |
| ----------- | ------------ | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Doc` | The modified `Doc` object. |
| Name | Type | Description |
| -------------- | --------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Doc` | The modified `Doc` object. |
## Doc.to_bytes {#to_bytes tag="method"}
@ -419,10 +421,11 @@ Serialize, i.e. export the document contents to a binary string.
> doc_bytes = doc.to_bytes()
> ```
| Name | Type | Description |
| ----------- | ----- | ------------------------------------------------------------------------- |
| `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | A losslessly serialized copy of the `Doc`, including all annotations. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | A losslessly serialized copy of the `Doc`, including all annotations. |
## Doc.from_bytes {#from_bytes tag="method"}
@ -438,11 +441,12 @@ Deserialize, i.e. import the document contents from a binary string.
> assert doc.text == doc2.text
> ```
| Name | Type | Description |
| ----------- | ----- | ------------------------------------------------------------------------- |
| `data` | bytes | The string to load from. |
| `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Doc` | The `Doc` object. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| `data` | bytes | The string to load from. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Doc` | The `Doc` object. |
## Doc.retokenize {#retokenize tag="contextmanager" new="2.1"}

20
website/docs/api/entitylinker.md
View File

@ -265,10 +265,11 @@ Serialize the pipe to disk.
> entity_linker.to_disk("/path/to/entity_linker")
> ```
| Name | Type | Description |
| --------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| Name | Type | Description |
| -------------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
## EntityLinker.from_disk {#from_disk tag="method"}
@ -281,11 +282,12 @@ Load the pipe from disk. Modifies the object in place and returns it.
> entity_linker.from_disk("/path/to/entity_linker")
> ```
| Name | Type | Description |
| ----------- | --------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `EntityLinker` | The modified `EntityLinker` object. |
| Name | Type | Description |
| -------------- | --------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `EntityLinker` | The modified `EntityLinker` object. |
## Serialization fields {#serialization-fields}

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@ -289,10 +289,11 @@ Serialize the pipe to disk.
> ner.to_disk("/path/to/ner")
> ```
| Name | Type | Description |
| --------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| Name | Type | Description |
| -------------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
## EntityRecognizer.from_disk {#from_disk tag="method"}
@ -305,11 +306,12 @@ Load the pipe from disk. Modifies the object in place and returns it.
> ner.from_disk("/path/to/ner")
> ```
| Name | Type | Description |
| ----------- | ------------------ | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `EntityRecognizer` | The modified `EntityRecognizer` object. |
| Name | Type | Description |
| -------------- | ------------------ | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `EntityRecognizer` | The modified `EntityRecognizer` object. |
## EntityRecognizer.to_bytes {#to_bytes tag="method"}
@ -322,10 +324,11 @@ Load the pipe from disk. Modifies the object in place and returns it.
Serialize the pipe to a bytestring.
| Name | Type | Description |
| ----------- | --------------- | ------------------------------------------------------------------------- |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `EntityRecognizer` object. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `EntityRecognizer` object. |
## EntityRecognizer.from_bytes {#from_bytes tag="method"}
@ -339,11 +342,12 @@ Load the pipe from a bytestring. Modifies the object in place and returns it.
> ner.from_bytes(ner_bytes)
> ```
| Name | Type | Description |
| ------------ | ------------------ | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `EntityRecognizer` | The `EntityRecognizer` object. |
| Name | Type | Description |
| -------------- | ------------------ | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `EntityRecognizer` | The `EntityRecognizer` object. |
## EntityRecognizer.labels {#labels tag="property"}

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@ -645,10 +645,11 @@ the model**.
> nlp.to_disk("/path/to/models")
> ```
| Name | Type | Description |
| --------- | ------------ | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| `exclude` | list | Names of pipeline components or [serialization fields](#serialization-fields) to exclude. |
| Name | Type | Description |
| -------------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | Names of pipeline components or [serialization fields](#serialization-fields) to exclude. |
## Language.from_disk {#from_disk tag="method" new="2"}
@ -670,11 +671,12 @@ loaded object.
> nlp = English().from_disk("/path/to/en_model")
> ```
| Name | Type | Description |
| ----------- | ------------ | ----------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| `exclude` | list | Names of pipeline components or [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Language` | The modified `Language` object. |
| Name | Type | Description |
| -------------- | --------------- | ----------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | Names of pipeline components or [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Language` | The modified `Language` object. |
## Language.to_bytes {#to_bytes tag="method"}
@ -686,10 +688,11 @@ Serialize the current state to a binary string.
> nlp_bytes = nlp.to_bytes()
> ```
| Name | Type | Description |
| ----------- | ----- | ----------------------------------------------------------------------------------------- |
| `exclude` | list | Names of pipeline components or [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `Language` object. |
| Name | Type | Description |
| -------------- | --------------- | ----------------------------------------------------------------------------------------- |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | Names of pipeline components or [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `Language` object. |
## Language.from_bytes {#from_bytes tag="method"}
@ -707,11 +710,12 @@ available to the loaded object.
> nlp2.from_bytes(nlp_bytes)
> ```
| Name | Type | Description |
| ------------ | ---------- | ----------------------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| `exclude` | list | Names of pipeline components or [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Language` | The `Language` object. |
| Name | Type | Description |
| -------------- | --------------- | ----------------------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | Names of pipeline components or [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Language` | The `Language` object. |
## Attributes {#attributes}

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@ -276,10 +276,11 @@ Serialize the pipe to disk.
> morphologizer.to_disk("/path/to/morphologizer")
> ```
| Name | Type | Description |
| --------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| Name | Type | Description |
| -------------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
## Morphologizer.from_disk {#from_disk tag="method"}
@ -292,11 +293,12 @@ Load the pipe from disk. Modifies the object in place and returns it.
> morphologizer.from_disk("/path/to/morphologizer")
> ```
| Name | Type | Description |
| ----------- | --------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Morphologizer` | The modified `Morphologizer` object. |
| Name | Type | Description |
| -------------- | --------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Morphologizer` | The modified `Morphologizer` object. |
## Morphologizer.to_bytes {#to_bytes tag="method"}
@ -309,10 +311,11 @@ Load the pipe from disk. Modifies the object in place and returns it.
Serialize the pipe to a bytestring.
| Name | Type | Description |
| ----------- | --------------- | ------------------------------------------------------------------------- |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `Morphologizer` object. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `Morphologizer` object. |
## Morphologizer.from_bytes {#from_bytes tag="method"}
@ -326,11 +329,12 @@ Load the pipe from a bytestring. Modifies the object in place and returns it.
> morphologizer.from_bytes(morphologizer_bytes)
> ```
| Name | Type | Description |
| ------------ | --------------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Morphologizer` | The `Morphologizer` object. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Morphologizer` | The `Morphologizer` object. |
## Morphologizer.labels {#labels tag="property"}

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@ -306,10 +306,11 @@ Serialize the pipe to disk.
> pipe.to_disk("/path/to/pipe")
> ```
| Name | Type | Description |
| --------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| Name | Type | Description |
| -------------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
## Pipe.from_disk {#from_disk tag="method"}
@ -322,11 +323,12 @@ Load the pipe from disk. Modifies the object in place and returns it.
> pipe.from_disk("/path/to/pipe")
> ```
| Name | Type | Description |
| ----------- | --------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Pipe` | The modified pipe. |
| Name | Type | Description |
| -------------- | --------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Pipe` | The modified pipe. |
## Pipe.to_bytes {#to_bytes tag="method"}
@ -339,10 +341,11 @@ Load the pipe from disk. Modifies the object in place and returns it.
Serialize the pipe to a bytestring.
| Name | Type | Description |
| ----------- | --------------- | ------------------------------------------------------------------------- |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the pipe. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the pipe. |
## Pipe.from_bytes {#from_bytes tag="method"}
@ -356,11 +359,12 @@ Load the pipe from a bytestring. Modifies the object in place and returns it.
> pipe.from_bytes(pipe_bytes)
> ```
| Name | Type | Description |
| ------------ | --------------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Pipe` | The pipe. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Pipe` | The pipe. |
## Serialization fields {#serialization-fields}

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@ -291,10 +291,11 @@ Serialize the pipe to disk.
> senter.to_disk("/path/to/senter")
> ```
| Name | Type | Description |
| --------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| Name | Type | Description |
| -------------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
## SentenceRecognizer.from_disk {#from_disk tag="method"}
@ -307,11 +308,12 @@ Load the pipe from disk. Modifies the object in place and returns it.
> senter.from_disk("/path/to/senter")
> ```
| Name | Type | Description |
| ----------- | -------------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `SentenceRecognizer` | The modified `SentenceRecognizer` object. |
| Name | Type | Description |
| -------------- | -------------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `SentenceRecognizer` | The modified `SentenceRecognizer` object. |
## SentenceRecognizer.to_bytes {#to_bytes tag="method"}
@ -324,10 +326,11 @@ Load the pipe from disk. Modifies the object in place and returns it.
Serialize the pipe to a bytestring.
| Name | Type | Description |
| ----------- | --------------- | ------------------------------------------------------------------------- |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `SentenceRecognizer` object. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `SentenceRecognizer` object. |
## SentenceRecognizer.from_bytes {#from_bytes tag="method"}
@ -341,11 +344,12 @@ Load the pipe from a bytestring. Modifies the object in place and returns it.
> senter.from_bytes(senter_bytes)
> ```
| Name | Type | Description |
| ------------ | -------------------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `SentenceRecognizer` | The `SentenceRecognizer` object. |
| Name | Type | Description |
| -------------- | -------------------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `SentenceRecognizer` | The `SentenceRecognizer` object. |
## Serialization fields {#serialization-fields}

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@ -307,10 +307,11 @@ Serialize the pipe to disk.
> tagger.to_disk("/path/to/tagger")
> ```
| Name | Type | Description |
| --------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| Name | Type | Description |
| -------------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
## Tagger.from_disk {#from_disk tag="method"}
@ -323,11 +324,12 @@ Load the pipe from disk. Modifies the object in place and returns it.
> tagger.from_disk("/path/to/tagger")
> ```
| Name | Type | Description |
| ----------- | --------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Tagger` | The modified `Tagger` object. |
| Name | Type | Description |
| -------------- | --------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Tagger` | The modified `Tagger` object. |
## Tagger.to_bytes {#to_bytes tag="method"}
@ -340,10 +342,11 @@ Load the pipe from disk. Modifies the object in place and returns it.
Serialize the pipe to a bytestring.
| Name | Type | Description |
| ----------- | --------------- | ------------------------------------------------------------------------- |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `Tagger` object. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `Tagger` object. |
## Tagger.from_bytes {#from_bytes tag="method"}
@ -357,11 +360,12 @@ Load the pipe from a bytestring. Modifies the object in place and returns it.
> tagger.from_bytes(tagger_bytes)
> ```
| Name | Type | Description |
| ------------ | --------------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Tagger` | The `Tagger` object. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Tagger` | The `Tagger` object. |
## Tagger.labels {#labels tag="property"}

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@ -325,10 +325,11 @@ Serialize the pipe to disk.
> textcat.to_disk("/path/to/textcat")
> ```
| Name | Type | Description |
| --------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| Name | Type | Description |
| -------------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
## TextCategorizer.from_disk {#from_disk tag="method"}
@ -341,11 +342,12 @@ Load the pipe from disk. Modifies the object in place and returns it.
> textcat.from_disk("/path/to/textcat")
> ```
| Name | Type | Description |
| ----------- | ----------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `TextCategorizer` | The modified `TextCategorizer` object. |
| Name | Type | Description |
| -------------- | ----------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `TextCategorizer` | The modified `TextCategorizer` object. |
## TextCategorizer.to_bytes {#to_bytes tag="method"}
@ -358,10 +360,11 @@ Load the pipe from disk. Modifies the object in place and returns it.
Serialize the pipe to a bytestring.
| Name | Type | Description |
| ----------- | --------------- | ------------------------------------------------------------------------- |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `TextCategorizer` object. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `TextCategorizer` object. |
## TextCategorizer.from_bytes {#from_bytes tag="method"}
@ -375,11 +378,12 @@ Load the pipe from a bytestring. Modifies the object in place and returns it.
> textcat.from_bytes(textcat_bytes)
> ```
| Name | Type | Description |
| ------------ | ----------------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `TextCategorizer` | The `TextCategorizer` object. |
| Name | Type | Description |
| -------------- | ----------------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `TextCategorizer` | The `TextCategorizer` object. |
## TextCategorizer.labels {#labels tag="property"}

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@ -227,10 +227,11 @@ Serialize the pipe to disk.
> tok2vec.to_disk("/path/to/tok2vec")
> ```
| Name | Type | Description |
| --------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| Name | Type | Description |
| -------------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
## Tok2Vec.from_disk {#from_disk tag="method"}
@ -243,11 +244,12 @@ Load the pipe from disk. Modifies the object in place and returns it.
> tok2vec.from_disk("/path/to/tok2vec")
> ```
| Name | Type | Description |
| ----------- | --------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Tok2Vec` | The modified `Tok2Vec` object. |
| Name | Type | Description |
| -------------- | --------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Tok2Vec` | The modified `Tok2Vec` object. |
## Tok2Vec.to_bytes {#to_bytes tag="method"}
@ -260,10 +262,11 @@ Load the pipe from disk. Modifies the object in place and returns it.
Serialize the pipe to a bytestring.
| Name | Type | Description |
| ----------- | --------------- | ------------------------------------------------------------------------- |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `Tok2Vec` object. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `Tok2Vec` object. |
## Tok2Vec.from_bytes {#from_bytes tag="method"}
@ -277,11 +280,12 @@ Load the pipe from a bytestring. Modifies the object in place and returns it.
> tok2vec.from_bytes(tok2vec_bytes)
> ```
| Name | Type | Description |
| ------------ | --------------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Tok2Vec` | The `Tok2Vec` object. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Tok2Vec` | The `Tok2Vec` object. |
## Serialization fields {#serialization-fields}

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@ -158,10 +158,11 @@ Serialize the tokenizer to disk.
> tokenizer.to_disk("/path/to/tokenizer")
> ```
| Name | Type | Description |
| --------- | ------------ | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. |
| Name | Type | Description |
| -------------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
## Tokenizer.from_disk {#from_disk tag="method"}
@ -174,11 +175,12 @@ Load the tokenizer from disk. Modifies the object in place and returns it.
> tokenizer.from_disk("/path/to/tokenizer")
> ```
| Name | Type | Description |
| ----------- | ------------ | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Tokenizer` | The modified `Tokenizer` object. |
| Name | Type | Description |
| -------------- | --------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Tokenizer` | The modified `Tokenizer` object. |
## Tokenizer.to_bytes {#to_bytes tag="method"}
@ -191,10 +193,11 @@ Load the tokenizer from disk. Modifies the object in place and returns it.
Serialize the tokenizer to a bytestring.
| Name | Type | Description |
| ----------- | ----- | ------------------------------------------------------------------------- |
| `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `Tokenizer` object. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `Tokenizer` object. |
## Tokenizer.from_bytes {#from_bytes tag="method"}
@ -209,11 +212,12 @@ it.
> tokenizer.from_bytes(tokenizer_bytes)
> ```
| Name | Type | Description |
| ------------ | ----------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Tokenizer` | The `Tokenizer` object. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Tokenizer` | The `Tokenizer` object. |
## Attributes {#attributes}

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@ -51,11 +51,11 @@ architectures and their arguments and hyperparameters.
> nlp.add_pipe("transformer", config=DEFAULT_CONFIG)
> ```
| Setting | Type | Description | Default |
| ------------------- | ------------------------------------------ | ------------------------------- | ------------------------------------------------------------------- |
| `max_batch_items` | int | Maximum size of a padded batch. | `4096` |
| `annotation_setter` | Callable | <!-- TODO: --> | [`null_annotation_setter`](/api/transformer#null_annotation_setter) |
| `model` | [`Model`](https://thinc.ai/docs/api-model) | The model to use. | [TransformerModel](/api/architectures#TransformerModel) |
| Setting | Type | Description | Default |
| ------------------- | ------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------- |
| `max_batch_items` | int | Maximum size of a padded batch. | `4096` |
| `annotation_setter` | Callable | Function that takes a batch of `Doc` objects and a [`FullTransformerBatch`](#fulltransformerbatch) and can set additional annotations on the `Doc`. | `null_annotation_setter` |
| `model` | [`Model`](https://thinc.ai/docs/api-model) | The model to use. | [TransformerModel](/api/architectures#TransformerModel) |
```python
https://github.com/explosion/spacy-transformers/blob/master/spacy_transformers/pipeline_component.py
@ -69,8 +69,14 @@ https://github.com/explosion/spacy-transformers/blob/master/spacy_transformers/p
> # Construction via add_pipe with default model
> trf = nlp.add_pipe("transformer")
>
> # Construction via add_pipe with custom model
> config = {"model": {"@architectures": "my_transformer"}}
> # Construction via add_pipe with custom config
> config = {
> "model": {
> "@architectures": "spacy-transformers.TransformerModel.v1",
> "name": "bert-base-uncased",
> "tokenizer_config": {"use_fast": True}
> }
> }
> trf = nlp.add_pipe("transformer", config=config)
>
> # Construction from class
@ -82,26 +88,313 @@ Create a new pipeline instance. In your application, you would normally use a
shortcut for this and instantiate the component using its string name and
[`nlp.add_pipe`](/api/language#create_pipe).
| Name | Type | Description |
| ------------------- | ------------------------------------------ | ------------------------------------------------------------------------------------------- |
| `vocab` | `Vocab` | The shared vocabulary. |
| `model` | [`Model`](https://thinc.ai/docs/api-model) | The Thinc [`Model`](https://thinc.ai/docs/api-model) powering the pipeline component. |
| `annotation_setter` | `Callable` | <!-- TODO: --> |
| _keyword-only_ | | |
| `name` | str | String name of the component instance. Used to add entries to the `losses` during training. |
| `max_batch_items` | int | Maximum size of a padded batch. Defaults to `128*32`. |
| Name | Type | Description |
| ------------------- | ------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `vocab` | `Vocab` | The shared vocabulary. |
| `model` | [`Model`](https://thinc.ai/docs/api-model) | The Thinc [`Model`](https://thinc.ai/docs/api-model) powering the pipeline component. |
| `annotation_setter` | `Callable` | Function that takes a batch of `Doc` objects and a [`FullTransformerBatch`](/api/transformer#fulltransformerbatch) and can set additional annotations on the `Doc`. Defaults to `null_annotation_setter`, a function that does nothing. |
| _keyword-only_ | | |
| `name` | str | String name of the component instance. Used to add entries to the `losses` during training. |
| `max_batch_items` | int | Maximum size of a padded batch. Defaults to `128*32`. |
<!-- TODO: document rest -->
## Transformer.\_\_call\_\_ {#call tag="method"}
Apply the pipe to one document. The document is modified in place, and returned.
This usually happens under the hood when the `nlp` object is called on a text
and all pipeline components are applied to the `Doc` in order. Both
[`__call__`](/api/transformer#call) and [`pipe`](/api/transformer#pipe) delegate
to the [`predict`](/api/transformer#predict) and
[`set_annotations`](/api/transformer#set_annotations) methods.
> #### Example
>
> ```python
> doc = nlp("This is a sentence.")
> trf = nlp.add_pipe("transformer")
> # This usually happens under the hood
> processed = transformer(doc)
> ```
| Name | Type | Description |
| ----------- | ----- | ------------------------ |
| `doc` | `Doc` | The document to process. |
| **RETURNS** | `Doc` | The processed document. |
## Transformer.pipe {#pipe tag="method"}
Apply the pipe to a stream of documents. This usually happens under the hood
when the `nlp` object is called on a text and all pipeline components are
applied to the `Doc` in order. Both [`__call__`](/api/transformer#call) and
[`pipe`](/api/transformer#pipe) delegate to the
[`predict`](/api/transformer#predict) and
[`set_annotations`](/api/transformer#set_annotations) methods.
> #### Example
>
> ```python
> trf = nlp.add_pipe("transformer")
> for doc in trf.pipe(docs, batch_size=50):
> pass
> ```
| Name | Type | Description |
| -------------- | --------------- | ----------------------------------------------------- |
| `stream` | `Iterable[Doc]` | A stream of documents. |
| _keyword-only_ | | |
| `batch_size` | int | The number of documents to buffer. Defaults to `128`. |
| **YIELDS** | `Doc` | The processed documents in order. |
## Transformer.begin_training {#begin_training tag="method"}
Initialize the pipe for training, using data examples if available. Returns an
[`Optimizer`](https://thinc.ai/docs/api-optimizers) object.
> #### Example
>
> ```python
> trf = nlp.add_pipe("transformer")
> optimizer = trf.begin_training(pipeline=nlp.pipeline)
> ```
| Name | Type | Description |
| -------------- | --------------------------------------------------- | -------------------------------------------------------------------------------------------------------------- |
| `get_examples` | `Callable[[], Iterable[Example]]` | Optional function that returns gold-standard annotations in the form of [`Example`](/api/example) objects. |
| _keyword-only_ | | |
| `pipeline` | `List[Tuple[str, Callable]]` | Optional list of pipeline components that this component is part of. |
| `sgd` | [`Optimizer`](https://thinc.ai/docs/api-optimizers) | An optional optimizer. Will be created via [`create_optimizer`](/api/transformer#create_optimizer) if not set. |
| **RETURNS** | [`Optimizer`](https://thinc.ai/docs/api-optimizers) | The optimizer. |
## Transformer.predict {#predict tag="method"}
Apply the pipeline's model to a batch of docs, without modifying them.
> #### Example
>
> ```python
> trf = nlp.add_pipe("transformer")
> scores = trf.predict([doc1, doc2])
> ```
| Name | Type | Description |
| ----------- | --------------- | ----------------------------------------- |
| `docs` | `Iterable[Doc]` | The documents to predict. |
| **RETURNS** | - | The model's prediction for each document. |
## Transformer.set_annotations {#set_annotations tag="method"}
Modify a batch of documents, using pre-computed scores.
> #### Example
>
> ```python
> trf = nlp.add_pipe("transformer")
> scores = trf.predict(docs)
> trf.set_annotations(docs, scores)
> ```
| Name | Type | Description |
| -------- | --------------- | ----------------------------------------------------- |
| `docs` | `Iterable[Doc]` | The documents to modify. |
| `scores` | - | The scores to set, produced by `Transformer.predict`. |
## Transformer.update {#update tag="method"}
Learn from a batch of documents and gold-standard information, updating the
pipe's model. Delegates to [`predict`](/api/transformer#predict).
> #### Example
>
> ```python
> trf = nlp.add_pipe("transformer")
> optimizer = nlp.begin_training()
> losses = trf.update(examples, sgd=optimizer)
> ```
| Name | Type | Description |
| ----------------- | --------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------- |
| `examples` | `Iterable[Example]` | A batch of [`Example`](/api/example) objects to learn from. |
| _keyword-only_ | | |
| `drop` | float | The dropout rate. |
| `set_annotations` | bool | Whether or not to update the `Example` objects with the predictions, delegating to [`set_annotations`](/api/transformer#set_annotations). |
| `sgd` | [`Optimizer`](https://thinc.ai/docs/api-optimizers) | The optimizer. |
| `losses` | `Dict[str, float]` | Optional record of the loss during training. Updated using the component name as the key. |
| **RETURNS** | `Dict[str, float]` | The updated `losses` dictionary. |
## Transformer.create_optimizer {#create_optimizer tag="method"}
Create an optimizer for the pipeline component.
> #### Example
>
> ```python
> trf = nlp.add_pipe("transformer")
> optimizer = trf.create_optimizer()
> ```
| Name | Type | Description |
| ----------- | --------------------------------------------------- | -------------- |
| **RETURNS** | [`Optimizer`](https://thinc.ai/docs/api-optimizers) | The optimizer. |
## Transformer.use_params {#use_params tag="method, contextmanager"}
Modify the pipe's model, to use the given parameter values. At the end of the
context, the original parameters are restored.
> #### Example
>
> ```python
> trf = nlp.add_pipe("transformer")
> with trf.use_params(optimizer.averages):
> trf.to_disk("/best_model")
> ```
| Name | Type | Description |
| -------- | ---- | ----------------------------------------- |
| `params` | dict | The parameter values to use in the model. |
## Transformer.to_disk {#to_disk tag="method"}
Serialize the pipe to disk.
> #### Example
>
> ```python
> trf = nlp.add_pipe("transformer")
> trf.to_disk("/path/to/transformer")
> ```
| Name | Type | Description |
| -------------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
## Transformer.from_disk {#from_disk tag="method"}
Load the pipe from disk. Modifies the object in place and returns it.
> #### Example
>
> ```python
> trf = nlp.add_pipe("transformer")
> trf.from_disk("/path/to/transformer")
> ```
| Name | Type | Description |
| -------------- | --------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Tok2Vec` | The modified `Tok2Vec` object. |
## Transformer.to_bytes {#to_bytes tag="method"}
> #### Example
>
> ```python
> trf = nlp.add_pipe("transformer")
> trf_bytes = trf.to_bytes()
> ```
Serialize the pipe to a bytestring.
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `Tok2Vec` object. |
## Transformer.from_bytes {#from_bytes tag="method"}
Load the pipe from a bytestring. Modifies the object in place and returns it.
> #### Example
>
> ```python
> trf_bytes = trf.to_bytes()
> trf = nlp.add_pipe("transformer")
> trf.from_bytes(trf_bytes)
> ```
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Tok2Vec` | The `Tok2Vec` object. |
## Serialization fields {#serialization-fields}
During serialization, spaCy will export several data fields used to restore
different aspects of the object. If needed, you can exclude them from
serialization by passing in the string names via the `exclude` argument.
> #### Example
>
> ```python
> data = trf.to_disk("/path", exclude=["vocab"])
> ```
| Name | Description |
| ------- | -------------------------------------------------------------- |
| `vocab` | The shared [`Vocab`](/api/vocab). |
| `cfg` | The config file. You usually don't want to exclude this. |
| `model` | The binary model data. You usually don't want to exclude this. |
## TransformerData {#transformerdata tag="dataclass"}
Transformer tokens and outputs for one `Doc` object.
| Name | Type | Description |
| --------- | -------------------------------------------------- | ----------------------------------------- |
| `tokens` | `Dict` | <!-- TODO: --> |
| `tensors` | `List[FloatsXd]` | <!-- TODO: --> |
| `align` | [`Ragged`](https://thinc.ai/docs/api-types#ragged) | <!-- TODO: --> |
| `width` | int | <!-- TODO: also mention it's property --> |
### TransformerData.empty {#transformerdata-emoty tag="classmethod"}
<!-- TODO: -->
| Name | Type | Description |
| ----------- | ----------------- | -------------- |
| **RETURNS** | `TransformerData` | <!-- TODO: --> |
## FullTransformerBatch {#fulltransformerbatch tag="dataclass"}
<!-- TODO: -->
| Name | Type | Description |
| ---------- | -------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------- |
| `spans` | `List[List[Span]]` | <!-- TODO: --> |
| `tokens` | [`transformers.BatchEncoding`](https://huggingface.co/transformers/main_classes/tokenizer.html?highlight=batchencoding#transformers.BatchEncoding) | <!-- TODO: --> |
| `tensors` | `List[torch.Tensor]` | <!-- TODO: --> |
| `align` | [`Ragged`](https://thinc.ai/docs/api-types#ragged) | <!-- TODO: --> |
| `doc_data` | `List[TransformerData]` | <!-- TODO: also mention it's property --> |
### FullTransformerBatch.unsplit_by_doc {#fulltransformerbatch-unsplit_by_doc tag="method"}
<!-- TODO: -->
| Name | Type | Description |
| ----------- | ---------------------- | -------------- |
| `arrays` | `List[List[Floats3d]]` | <!-- TODO: --> |
| **RETURNS** | `FullTransformerBatch` | <!-- TODO: --> |
### FullTransformerBatch.split_by_doc {#fulltransformerbatch-split_by_doc tag="method"}
Split a `TransformerData` object that represents a batch into a list with one
`TransformerData` per `Doc`.
| Name | Type | Description |
| ----------- | ----------------------- | -------------- |
| **RETURNS** | `List[TransformerData]` | <!-- TODO: --> |
## Custom attributes {#custom-attributes}
The component sets the following
[custom extension attributes](/usage/processing-pipeline#custom-components-attributes):
| Name | Type | Description |
| -------------- | ----------------- | -------------- |
| `Doc.trf_data` | `TransformerData` | <!-- TODO: --> |
| Name | Type | Description |
| -------------- | ----------------------------------------------------- | ---------------------------------------------------- |
| `Doc.trf_data` | [`TransformerData`](/api/transformer#transformerdata) | Transformer tokens and outputs for the `Doc` object. |

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@ -230,10 +230,11 @@ Save the current state to a directory.
> nlp.vocab.to_disk("/path/to/vocab")
> ```
| Name | Type | Description |
| --------- | ------------ | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. |
| Name | Type | Description |
| -------------- | --------------- | --------------------------------------------------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
## Vocab.from_disk {#from_disk tag="method" new="2"}
@ -246,11 +247,12 @@ Loads state from a directory. Modifies the object in place and returns it.
> vocab = Vocab().from_disk("/path/to/vocab")
> ```
| Name | Type | Description |
| ----------- | ------------ | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Vocab` | The modified `Vocab` object. |
| Name | Type | Description |
| -------------- | --------------- | -------------------------------------------------------------------------- |
| `path` | str / `Path` | A path to a directory. Paths may be either strings or `Path`-like objects. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Vocab` | The modified `Vocab` object. |
## Vocab.to_bytes {#to_bytes tag="method"}
@ -262,10 +264,11 @@ Serialize the current state to a binary string.
> vocab_bytes = nlp.vocab.to_bytes()
> ```
| Name | Type | Description |
| ----------- | ----- | ------------------------------------------------------------------------- |
| `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `Vocab` object. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | bytes | The serialized form of the `Vocab` object. |
## Vocab.from_bytes {#from_bytes tag="method"}
@ -280,11 +283,12 @@ Load state from a binary string.
> vocab.from_bytes(vocab_bytes)
> ```
| Name | Type | Description |
| ------------ | ------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| `exclude` | list | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Vocab` | The `Vocab` object. |
| Name | Type | Description |
| -------------- | --------------- | ------------------------------------------------------------------------- |
| `bytes_data` | bytes | The data to load from. |
| _keyword-only_ | | |
| `exclude` | `Iterable[str]` | String names of [serialization fields](#serialization-fields) to exclude. |
| **RETURNS** | `Vocab` | The `Vocab` object. |
## Attributes {#attributes}