Use T5Tokenizer instead of MT5Tokenizer (removed in Transformers v5.0+)
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Given that the `MT5Tokenizer` in `transformers` is just a "re-export" of `T5Tokenizer` as per https://github.com/huggingface/transformers/blob/v4.57.3/src/transformers/models/mt5/tokenization_mt5.py )on latest available stable Transformers i.e., v4.57.3), this commit updates the imports to point to `T5Tokenizer` instead, so that those still work with Transformers v5.0.0rc0 onwards.
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Agree @sayakpaul! I think this PR just unlocks some things as e.g. AutoPipelineForText2Image, but would be great to see if there's anything else that needs a patch prior Transformers v5.0.0 stable landing. |
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…v5.0+) (huggingface#12877) Use `T5Tokenizer` instead of `MT5Tokenizer` Given that the `MT5Tokenizer` in `transformers` is just a "re-export" of `T5Tokenizer` as per https://github.com/huggingface/transformers/blob/v4.57.3/src/transformers/models/mt5/tokenization_mt5.py )on latest available stable Transformers i.e., v4.57.3), this commit updates the imports to point to `T5Tokenizer` instead, so that those still work with Transformers v5.0.0rc0 onwards.
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What does this PR do?
This PR imports the
T5Tokenizerfromtransformersinstead of the formerMT5Tokenizer, given thatMT5Tokenizeris / was just a "re-export" ofT5Tokenizeras per https://github.com/huggingface/transformers/blob/v4.57.3/src/transformers/models/mt5/tokenization_mt5.py, on latest available stable Transformers i.e., v4.57.3.Note
Diffusers will still work fine with Transformers < v5.0.0rc0 despite the aforementioned change, but this way it also enables Transformers v5.0.0rc0 onwards.
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@sayakpaul @yiyixuxu