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:
- 321ac443d56b466a218be5b596fbe4122c09aca23890e0e2802c3af0bc90c57f
- Size of remote file:
- 25.7 MB
- SHA256:
- 18f307d1f8623fb2e70238184b818d3a823f17f209e7b588a98f73baadf6e1f5
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