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Clarify what kwargs can be accepted by "AutoModelForCausalLM.from_pretrained()"

huggingface/transformers#33486·166457·Python·737 天未动·0 条评论·上游最近活跃 ·池内状态:可认领
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上游 issue 正文

### Feature request i saw in the doc saying:If a configuration is not provided, kwargs will be first passed to the configuration class initialization function ([from_pretrained()](https://huggingface.co/docs/transformers/main/en/main_classes/configuration#transformers.PretrainedConfig.from_pretrained)). Each key of kwargs that corresponds to a configuration attribute will be used to override said attribute with the supplied kwargs value. Remaining keys that do not correspond to any configuration attribute will be passed to the underlying model’s __init__ function. but I can't seem to find the __init__(I found 3 lines with __init__, but no useful info). I saw some one added "use_cache:Ture" but don't know how this got handled and set,maybe it's discarded. ### Motivation i checked the doc and source code but still confused. ### Your contribution I'll keep looking
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