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I have little experience with BERT and transformers and can't figure out how to use the model the make predictions once the additional classification layer it's trained and reloaded, I keep getting dimension errors that seem to suggest there is something wrong with input. Is it possible to use SentimentClassifier class to make predictions by prediction = model(sequence, attention_mask)? Could you possibly provide an example of applying a finetuned model that would work with your implementation? Thanks!
Malgi
The text was updated successfully, but these errors were encountered:
Hi!
I have little experience with BERT and transformers and can't figure out how to use the model the make predictions once the additional classification layer it's trained and reloaded, I keep getting dimension errors that seem to suggest there is something wrong with input. Is it possible to use SentimentClassifier class to make predictions by prediction = model(sequence, attention_mask)? Could you possibly provide an example of applying a finetuned model that would work with your implementation? Thanks!
Malgi
The text was updated successfully, but these errors were encountered: