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Hello! I'm using this model architecture to do NER on domain specific tasks and it worked pretty well! However the old version of transformer is still a little bit troublesome.
For example, in order to be close to the pretraining process of BART, I want to directly encode the whole sentence using the tokenizer, rather than split it by space and then using 'add_prefix_space=True'. So I tried the 'span' method successfully. But for 'word' method it will need extra work to do that because of the old version of tokenizer.
Is there any plan to release a transformer 4.0.0 (or above) version?
The text was updated successfully, but these errors were encountered:
Hello! I'm using this model architecture to do NER on domain specific tasks and it worked pretty well! However the old version of transformer is still a little bit troublesome.
For example, in order to be close to the pretraining process of BART, I want to directly encode the whole sentence using the tokenizer, rather than split it by space and then using 'add_prefix_space=True'. So I tried the 'span' method successfully. But for 'word' method it will need extra work to do that because of the old version of tokenizer.
Is there any plan to release a transformer 4.0.0 (or above) version?
The text was updated successfully, but these errors were encountered: