Instructions to use microsoft/deberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v3-base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v3-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/deberta-v3-base: direct link, hf CLI and curl.
- Browser
- Download file 371 MB
-
https://huggingface.co/microsoft/deberta-v3-base/resolve/559062ad13d311b87b2c455e67dcd5f1c8f65111/pytorch_model.bin
- Command line
-
hf download hf://microsoft/deberta-v3-base@559062ad13d311b87b2c455e67dcd5f1c8f65111/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/deberta-v3-base/resolve/559062ad13d311b87b2c455e67dcd5f1c8f65111/pytorch_model.bin
371 MB
- Xet hash:
- 3083c8f02e547f4f8e04c837a7e7e26f6ef0507aac23e5b21e9c348f82ab78a3
- Size of remote file:
- 371 MB
- SHA256:
- 691d48a2800b926a19e3051def466fc2cca4f59a15e42ce4a0cf7f1b380b5e33
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