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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-base", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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If you find DeBERTa useful for your work, please cite the following paper:
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``` latex
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```
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If you find DeBERTa useful for your work, please cite the following paper:
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``` latex
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@inproceedings{
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he2021deberta,
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title={{\{}DEBERTA{\}}: {\{}DECODING{\}}-{\{}ENHANCED{\}} {\{}BERT{\}} {\{}WITH{\}} {\{}DISENTANGLED{\}} {\{}ATTENTION{\}}},
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author={Pengcheng He and Xiaodong Liu and Jianfeng Gao and Weizhu Chen},
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booktitle={International Conference on Learning Representations},
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year={2021},
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url={https://openreview.net/forum?id=XPZIaotutsD}
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}
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```
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