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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v2-xlarge", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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See docs: https://huggingface.co/docs/hub/models-widgets#enabling-a-widget280cd0c
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Add DeBERTa v2 XLarge(900M) model
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initial commit
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