Category : nlp

I am working on a data format like this. data = [{"content":”’Hello I am Aniyya. I enjoy playing Football. I love eating grapes”’,"annotations":[{"id":1,"start":11,"end":17,"tag":"name"}, {"id":2,"start":59,"end":65,"tag":"fruit"}]}] and i did want a data format like this. The sentences which do not have any entities has to be removed. And update the start and end of other entities according ..

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In 1 code., I have uploaded hugging face ‘transformers.trainer.Trainer’ based model using save_pretrained() function In 2nd code, I want to download this uploaded model and use it to make predictions. I need help in this step – How to download the uploaded model & then make a prediction? Steps to create model: from transformers import ..

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I have a dataset(csv) with one column containing information of email threads. each row has entire email thread (including "from", "to", "body", "salutation" etc) copied into column . Are there any standard libraries in python to preprocess email content and extract only body of email? This will help me a lot in my text analytics ..

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