Instructions to use google/bert_uncased_L-2_H-256_A-4 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-256_A-4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/bert_uncased_L-2_H-256_A-4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcba1e604a2c758f0178c18b99016deed94ce2ad371376ea570957dd1f690934
- Size of remote file:
- 38.4 MB
- SHA256:
- eecb7af6123d287470edee59767cba257e77956c92abf31d4645210eeec61ace
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