Instructions to use microsoft/deberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v3-base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v3-base", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71fc3100c0eba2c782bbf040e2aa937fea86396538b7511034bdcbdaa88283df
- Size of remote file:
- 742 MB
- SHA256:
- 276aadc323988709f076fb489790103d28e64b80c72e9a3e19043d28f4c7c31a
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