Instructions to use microsoft/deberta-v2-xlarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v2-xlarge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v2-xlarge")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v2-xlarge", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a836fc2b54a169d3d01e2a2ae84a04455fd90abe9dd296c0b126805caf836ea2
- Size of remote file:
- 1.78 GB
- SHA256:
- 7088de0d6925bbd824e5dfd33db6ca5145231b8fd9f702363f18275f14d50ab9
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