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
Download pytorch_model.bin from microsoft/deberta-base: direct link, hf CLI and curl.
- Browser
- Download file 559 MB
-
https://huggingface.co/microsoft/deberta-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/deberta-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/deberta-base/resolve/main/pytorch_model.bin
559 MB
- Xet hash:
- 453f14e475b3c22259c83b66a010ec47ec50b18bb9301e9090dd741eb514e92f
- Size of remote file:
- 559 MB
- SHA256:
- 81ab61c5dc9111f81e528b7b3ae93997f4ae72ba531e60587835be894ab0ffe5
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