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This was requested specifically for NER tasks. It's actually just a Roberta model, so there's no new implementation, but the config lists CamemBERT so it throws off our loader.
@jonatanklosko Let me know if you think it is worth adding an extra module of integration tests to make sure all of the mappings load correctly :)
AFAICT there is not a fast tokenizer, but I think users can get around this manually by loading in Python and using
convert_slow_to_fast
or whatever the conversion is in Python