Instructions to use bclavie/edubert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bclavie/edubert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bclavie/edubert", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81f563d1282b82301df0e0105b44693c7e7a87b95ddeb3e752029f50f2786b72
- Size of remote file:
- 440 MB
- SHA256:
- 80e69b613e0dbe8a861d5ffcbb0efdb612ee080c28344131b32d3183a461eaa5
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