Instructions to use microsoft/deberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-large", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Add task to enable widget (#1)
- Add task to enable widget (b9c6f051008fd742aea849839e7b656717d8ca4e) Co-authored-by: Lewis Tunstall <lewtun@users.noreply.huggingface.co>a97e054
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Adding TF checkpoint
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Removing Huggingface config from pytorch_model.bin
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Update README.md
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Add gpt vocab
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Add model type
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Add vocab type config
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Fix model loading issue with older version of pytorch(<1.6)
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Migrate model card from transformers-repo
Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/microsoft/deberta-large/README.md54eadd6
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Add tokenizer configuration
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initial commit
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