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A character tokenizer for Hugging Face Transformers

License: MIT License

Python 100.00%
huggingface huggingface-transformers natural-language-processing nlp ocr python tokenization tokenizer

character-tokenizer's Issues

Confusion Regarding EOS Token

Thank you for providing this great library. I am relatively new to NLP, therefore it might be that I misunderstood something. Could please explain why [SEP] is assigned instead of [EOS] in the following line?

eos_token = AddedToken("[SEP]", lstrip=False, rstrip=False)

It seems like the same token is used for <sep> and <eos>. Thank you in advance!

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