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[docs]class M2M100Tokenizer(PreTrainedTokenizer): """ Construct an M2M100 tokenizer. Based on `SentencePiece <https://github.com/google/sentencepiece>`__.
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In this work, we create a true Many-to-Many multilingual translation model that can translate directly between any pair of 100 languages. We build and open ...
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INTERNAL HELPERS for the classes and functions we use internally. The library currently contains PyTorch, Tensorflow and Flax implementations, pretrained model ...
Construct an M2M100 tokenizer. Based on [SentencePiece](https://github.com/google/sentencepiece). This tokenizer ...
How to contribute to transformers? How to add a model to Transformers? Using tokenizers from Tokenizers · Performance and Scalability: How To Fit a Bigger ...
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HOW-TO GUIDES show you how to achieve a specific goal, like finetuning a pretrained model for language modeling or how to write and share a custom model.
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Transformers provides APIs to quickly download and use those pretrained models on a given text, fine-tune them on your own datasets and then share them with ...
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