Instructions to use samanehs/bert_base_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samanehs/bert_base_en with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("samanehs/bert_base_en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f8a251ec2b74e9ee959f14de02349e938a1b756cffd71123f8d6ae0da0fca8e
- Size of remote file:
- 17.6 MB
- SHA256:
- 3cab6429c4f08720b71708b52e5b0ef87de975d74713df3d8fe43c72445c6c96
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