Instructions to use microsoft/deberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-base", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 071b8aba934115f573cb5105abd2b8746fcf139a247bcca787cdd5a99175a83c
- Size of remote file:
- 555 MB
- SHA256:
- 16442fa0caaa8927e020e212b89b354db00a85f06c9b68eda20815233f619414
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