Instructions to use google/bert_uncased_L-10_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-10_H-128_A-2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/bert_uncased_L-10_H-128_A-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e83558e7d2f8ff70a9787618450a28aa2db32d802fc53192a04f68f2167a6ebb
- Size of remote file:
- 23.9 MB
- SHA256:
- 9278bb7f36c8d29dcfd956d4d6e47b3a7ddaad3b8ca30afaa1966f48167cf0c3
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