Instructions to use microsoft/deberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-large")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-large", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e6a292e1df7711875689f034498e83a4e243f885014246fcff7d3e6af03f8c1
- Size of remote file:
- 1.62 GB
- SHA256:
- efc3fad6fcdbd10b89f403dfdfcb4d295fff7684a2f3fd1e268f3e236af162f7
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