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:
- dfef0b1b428521b290a1395179bbfd4a83d3edb90cce7e5fb04f5c39b4a2500f
- Size of remote file:
- 736 MB
- SHA256:
- 01ad1b35cac509fb00b9873c670d824363ef884d1aa2758471c47b26cc2948f0
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