Instructions to use google/bert_uncased_L-12_H-128_A-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/bert_uncased_L-12_H-128_A-2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/bert_uncased_L-12_H-128_A-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c35048f3fd01053cdc8d551c30388a3c24c333d39101c8df1974f16d226313d
- Size of remote file:
- 25.5 MB
- SHA256:
- 5c1c2723bb9ab3b8760ec933c86843021dc3528c3a80738e26b28e419bcb1551
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