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bdb485cc80
* Add callback to copy vocab/tokenizer from model Add callback `spacy.copy_from_base_model.v1` to copy the tokenizer settings and/or vocab (including vectors) from a base model. * Move spacy.copy_from_base_model.v1 to spacy.training.callbacks * Add documentation * Modify to specify model as tokenizer and vocab params
33 lines
1.2 KiB
Python
33 lines
1.2 KiB
Python
from typing import Optional
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from ..errors import Errors
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from ..language import Language
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from ..util import load_model, registry, logger
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@registry.callbacks("spacy.copy_from_base_model.v1")
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def create_copy_from_base_model(
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tokenizer: Optional[str] = None,
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vocab: Optional[str] = None,
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) -> Language:
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def copy_from_base_model(nlp):
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if tokenizer:
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logger.info(f"Copying tokenizer from: {tokenizer}")
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base_nlp = load_model(tokenizer)
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if nlp.config["nlp"]["tokenizer"] == base_nlp.config["nlp"]["tokenizer"]:
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nlp.tokenizer.from_bytes(base_nlp.tokenizer.to_bytes(exclude=["vocab"]))
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else:
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raise ValueError(
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Errors.E872.format(
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curr_config=nlp.config["nlp"]["tokenizer"],
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base_config=base_nlp.config["nlp"]["tokenizer"],
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)
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)
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if vocab:
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logger.info(f"Copying vocab from: {vocab}")
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# only reload if the vocab is from a different model
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if tokenizer != vocab:
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base_nlp = load_model(vocab)
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nlp.vocab.from_bytes(base_nlp.vocab.to_bytes())
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return copy_from_base_model
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