Text Classification with BERT and NeMo
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.
Who Is the Company Behind Text Classification with BERT and NeMo?
- Seller: NVIDIA
- Year Founded: 1993
- HQ Location: Santa Clara, CA
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LinkedIn® Page: www.linkedin.com
51,762 employees on LinkedIn® - Ownership: NVDA
- Total Revenue (USD mm): $16,675
