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We haven't done this at this time, focusing more on tasks like Q+A? Is there a particular sentiment analysis task you'd like us to look into? We have a set up for sequence classification so it'd be pretty straightforward to try to apply this to sentiment.
The sequence classification code is good for sentiment, but you will need to produce training data. We haven't really focused on classic NLP tasks like NER, but there was some code for that, but I didn't refine it enough to get any interesting NER results yet.
Hi thanks for your great work, I was wondering if the model is also fine tuned for the NER or sentiment analysis task
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