Instructions to use google/bert_uncased_L-8_H-512_A-8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/bert_uncased_L-8_H-512_A-8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/bert_uncased_L-8_H-512_A-8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0fcb862ed034b260c50845d61fc30d45f893c267912beac86a6003afad161c4
- Size of remote file:
- 165 MB
- SHA256:
- b0dd59bb9f9794af007fca4d5a27c72a36aba73a2ea3bc2626fafdf063e345ee
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