Instructions to use microsoft/deberta-v3-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v3-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v3-small")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v3-small", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f63c2eab7484e2dea49e997fdff8516d38211a6ead625a6815aac826d60799c
- Size of remote file:
- 286 MB
- SHA256:
- d4b0ebcc7799a2c2dde1a39199cb0ed709f2c6b63a48b8c05133b77955f271a9
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