Instructions to use google/bert_uncased_L-2_H-768_A-12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/bert_uncased_L-2_H-768_A-12 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/bert_uncased_L-2_H-768_A-12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8b5675b9bd6bf9a0c17106b7337f6faf4b6f14289d79323a965c915c85b84e8
- Size of remote file:
- 154 MB
- SHA256:
- bb8b83a5183c29f96c8a1c93f850659af999a2421061ab2938d66e66f8f66ae1
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