Instructions to use microsoft/deberta-xlarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-xlarge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-xlarge")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-xlarge", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add task to enable widget (#1)
Browse files- Add task to enable widget (efa9620d7cab2e7c3db7ea3940418accba47d51b)
Co-authored-by: Lewis Tunstall <lewtun@users.noreply.huggingface.co>
README.md
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thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
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license: mit
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- deberta-v1
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- fill-mask
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thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
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license: mit
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