Instructions to use microsoft/mdeberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/mdeberta-v3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/mdeberta-v3-base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/mdeberta-v3-base", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14f15827dfe0a563f026b590fb64b3bb336cfdb4cb43c1c10712b978d47ff051
- Size of remote file:
- 1.11 GB
- SHA256:
- 698ea8844e1b68266b4c6f813e7548b244a3be833880db623427f99096cc820f
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