Plug BERT embeddings into a model for sentiment analysis

masterofnone 0
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I have the BERT embeddings of 10k sentences stored in a file, and I would like to get their sentiment scores. I am very new to this and I am at a loss at the moment, chasing a deadline. Is there any way that I can take those embeddings, plug them into a model, and get their sentiment score?

sentiment-analysis bert-language-model nlp python
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