Instructions to use microsoft/deberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-base", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0119b8255a976f515add308362a41354eb246db45ecbacdd51188fa500bbc01a
- Size of remote file:
- 559 MB
- SHA256:
- 42a8937bf8d3d98be44be18d92c0fafdebcddf839c8be2d72e18ec1b408b1e3c
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