Instructions to use microsoft/deberta-v3-xsmall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v3-xsmall with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v3-xsmall")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v3-xsmall", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.generator.bin from microsoft/deberta-v3-xsmall: direct link, hf CLI and curl.
- Browser
- Download file 144 MB
-
https://huggingface.co/microsoft/deberta-v3-xsmall/resolve/main/pytorch_model.generator.bin
- Command line
-
hf download hf://microsoft/deberta-v3-xsmall/pytorch_model.generator.bin
-
curl -L -o pytorch_model.generator.bin https://huggingface.co/microsoft/deberta-v3-xsmall/resolve/main/pytorch_model.generator.bin
144 MB
- Xet hash:
- 3479fad03544a996281d1509a637dc9c37fd3520e7fe6b82ea49da3fa3cec8e4
- Size of remote file:
- 144 MB
- SHA256:
- 1486aafb3873f0eada7d398711ce67266309bd9afee236f05dfd258bd98958f3
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