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:
- 325f9d79a66e8ed273f265a04d9963b4680aca4dd2963e120552f91c7402e7fe
- Size of remote file:
- 949 MB
- SHA256:
- 6ed99a7559e70706a5d8cd4fec61563e8d2681316ef02408ead469b6f0107006
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