Instructions to use microsoft/deberta-v3-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v3-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v3-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v3-small", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/deberta-v3-small: direct link, hf CLI and curl.
- Browser
- Download file 286 MB
-
https://huggingface.co/microsoft/deberta-v3-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/deberta-v3-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/deberta-v3-small/resolve/main/pytorch_model.bin
286 MB
- Xet hash:
- 4f63c2eab7484e2dea49e997fdff8516d38211a6ead625a6815aac826d60799c
- Size of remote file:
- 286 MB
- SHA256:
- d4b0ebcc7799a2c2dde1a39199cb0ed709f2c6b63a48b8c05133b77955f271a9
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