36 lines
1.3 KiB
Python
36 lines
1.3 KiB
Python
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from typing import TYPE_CHECKING, Callable, Optional
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from ..errors import Errors
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from ..util import load_model, logger, registry
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if TYPE_CHECKING:
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from ..language import Language
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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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) -> Callable[["Language"], "Language"]:
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def copy_from_base_model(nlp):
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if tokenizer:
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logger.info("Copying tokenizer from: %s", 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("Copying vocab from: %s", 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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