spaCy/spacy/training/callbacks.py
Sofie Van Landeghem 79ef6cf0f9
Have logging calls use string formatting types (#12215)
* change logging call for spacy.LookupsDataLoader.v1

* substitutions in language and _util

* various more substitutions

* add string formatting guidelines to contribution guidelines
2023-02-02 11:15:22 +01:00

33 lines
1.2 KiB
Python

from typing import Callable, Optional
from ..errors import Errors
from ..language import Language
from ..util import load_model, registry, logger
@registry.callbacks("spacy.copy_from_base_model.v1")
def create_copy_from_base_model(
tokenizer: Optional[str] = None,
vocab: Optional[str] = None,
) -> Callable[[Language], Language]:
def copy_from_base_model(nlp):
if tokenizer:
logger.info("Copying tokenizer from: %s", tokenizer)
base_nlp = load_model(tokenizer)
if nlp.config["nlp"]["tokenizer"] == base_nlp.config["nlp"]["tokenizer"]:
nlp.tokenizer.from_bytes(base_nlp.tokenizer.to_bytes(exclude=["vocab"]))
else:
raise ValueError(
Errors.E872.format(
curr_config=nlp.config["nlp"]["tokenizer"],
base_config=base_nlp.config["nlp"]["tokenizer"],
)
)
if vocab:
logger.info("Copying vocab from: %s", vocab)
# only reload if the vocab is from a different model
if tokenizer != vocab:
base_nlp = load_model(vocab)
nlp.vocab.from_bytes(base_nlp.vocab.to_bytes())
return copy_from_base_model