Instructions to use microsoft/deberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Add task to enable widget (#2)
- Add task to enable widget (dc4db1a99f3fe29fe50fe0bd31e5a97336b7d8f9) Co-authored-by: Lewis Tunstall <lewtun@users.noreply.huggingface.co>0d1b43c
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Addition of Rust model
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Add gpt vocab
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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-base/README.md14eea0d
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Add tokenizer configuration
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