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:
- 95f8c46df3fd2ced56da8d23656d137f87080edbf226d94347485184f9c9d04f
- Size of remote file:
- 1.26 kB
- SHA256:
- 41f28805ccbec49a9b5fb6f9d2f4b7c02cc62a0d4befbb031d18c02803263d40
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