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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43a1788a17e041bf973c0645eed34636ad52c5a41544b40ea76d18aea2f23dbc
- Size of remote file:
- 286 MB
- SHA256:
- 99cd3cbf49b4234e1e2210bf1a39565438f8957a3f6dfb43eab337c194b0ac41
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