Instructions to use microsoft/deberta-xlarge-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-xlarge-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-xlarge-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/deberta-xlarge-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.78 GB
-
https://huggingface.co/microsoft/deberta-xlarge-v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/deberta-xlarge-v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/deberta-xlarge-v2/resolve/main/pytorch_model.bin
1.78 GB
- Xet hash:
- a836fc2b54a169d3d01e2a2ae84a04455fd90abe9dd296c0b126805caf836ea2
- Size of remote file:
- 1.78 GB
- SHA256:
- 7088de0d6925bbd824e5dfd33db6ca5145231b8fd9f702363f18275f14d50ab9
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