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This NeMo application trains text classification models using single-GPU or multi-GPU. We log performance metrics and visualize them with TensorBoard. We show how to do inference with NeMo, and we visualize BERT embeddings before and after fine-tuning. When users leave Text Classification with BERT and NeMo reviews, G2 also collects common questions about the day-to-day use of Text Classification with BERT and NeMo. These questions are then answered by our community of 850k professionals. Submit your question below and join in on the G2 Discussion.

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