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I'm trying to do a project where I have paragraphs and I need to classify them into multiple labels. The dataset is around 40k rows with labels. I understand there is no one right approach but should I consider typical ML classifiers like embeddings + Logistic regression, xgboost etc. Or should I directly consider fine tuning transformers like BERT,DistilBERT etc.

My priority is on getting accurate predictions and I have a few weeks to complete this.

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