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feat: add trust-remote-code option #173

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Merged
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Feb 4, 2025
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feat: add trust-remote-code option #173

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6 changes: 4 additions & 2 deletions model2vec/distill/distillation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -204,6 +204,7 @@ def distill(
apply_zipf: bool = True,
use_subword: bool = True,
token_remove_pattern: str | None = r"\[unused\d+\]",
trust_remote_code: bool = False,
) -> StaticModel:
"""
Distill a staticmodel from a sentence transformer.
Expand All @@ -223,11 +224,12 @@ def distill(
:param apply_zipf: Whether to apply Zipf weighting to the embeddings.
:param use_subword: Whether to keep subword tokens in the vocabulary. If this is False, you must pass a vocabulary, and the returned tokenizer will only detect full words.
:param token_remove_pattern: If this is set to a string, we compile this into a regex. Any tokens that conform to this regex pattern will be removed from the vocabulary.
:param trust_remote_code: Whether to trust the remote code. If this is False, we will only load components coming from `transformers`. If this is True, we will load all components.
:return: A StaticModel

"""
model: PreTrainedModel = AutoModel.from_pretrained(model_name)
tokenizer: PreTrainedTokenizerFast = AutoTokenizer.from_pretrained(model_name)
model: PreTrainedModel = AutoModel.from_pretrained(model_name, trust_remote_code=trust_remote_code)
tokenizer: PreTrainedTokenizerFast = AutoTokenizer.from_pretrained(model_name, trust_remote_code=trust_remote_code)

return distill_from_model(
model=model,
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