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Update transformers to 4.51 #1790
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ethantang-db
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Apr 16, 2025
irenedea
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fun PR, thank you! just had a few nits
dakinggg
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In the latest transformers version, they added a py.typed file, which means that the type checker starts using types from transformers. There are a number of legitimitate type issues surfaced that I tried to correct, but the vast majority result from transformers not actually being a type checked library and a couple specific difficulties:
(1) BatchEncoding (which is what tokenizers return) has a getitem whose return type depends on the type of the index passed in (string vs int). The type checker can't handle this (correct answer would be to have overloads I believe).
(2) PeftModel forwards attr access to the underlying PreTrainedModel by overriding getattr. The type checker can't know this. The correct answer would be to do lots of unpacking of the model before accessing attrs, but I don't think its worth the energy.
Generally, if it wasn't clear to me what to do, I default to type ignore, since that is no worse of a state than before. For reviewers, probably best to skip reviewing all the type ignores, and focus on any places where I actually changed code.
Manual test run:
tr-types-2-9qAwxu