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:
- 351113c2da53faff1d2ec4edd568833c4eae6800c5c39d52372c05c227e5512a
- Size of remote file:
- 560 MB
- SHA256:
- 92671f84f9fd084a1365279f3c607bea6a7aef500ef3fcb28e03ac35c651fc30
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