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For pretrained models in NLP, look at BERT and RoBERTa. If you can find a language model trained on your data's superset on Huggingface, then, use that pretrained model. In order to multiclass classification, since your data is less, look at augmentations in NLP (most notably, backtranslation amongst others). Use focal loss (to handle class imbalance). Since,...


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