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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56d03b8673486b944b100d2eb4acb45c3a13fdf93eea8f17ca10203dabf6b277
- Size of remote file:
- 559 MB
- SHA256:
- 293119bd7a58989e83e7cd1a8aa28611f54da1ee5e37185df4ab961f9a8ccee7
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