protonet-bert-text-classification
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finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet
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Hello, I'm a newbie. Can you provide an example of the dataset?
Thanks for the great work! In the file batch_generator.py line 37, I noticed you have: `X = [self.inverse_map[y] + '=' + x for x, y in list(zip(X, Y))]` I'm wondering...