Instructions to use microsoft/deberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/deberta-v3-base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/deberta-v3-base", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -28,7 +28,7 @@ We present the dev results on SQuAD 2.0 and MNLI tasks.
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| XLNet-base |32 |92 | -/80.2 | 86.8/- |
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| ELECTRA-base |30 |86 | -/80.5 | 88.8/ |
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| DeBERTa-base |50 |100 | 86.2/83.1| 88.8/88.5|
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| DeBERTa-v3-base |128|86 | 88.4/85.4 | 90.6/90.7|
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| DeBERTa-v3-base + SiFT |128|86 | -/- | 91.0/-|
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We present the dev results on SQuAD 1.1/2.0 and MNLI tasks.
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| 28 |
| XLNet-base |32 |92 | -/80.2 | 86.8/- |
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| ELECTRA-base |30 |86 | -/80.5 | 88.8/ |
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| DeBERTa-base |50 |100 | 86.2/83.1| 88.8/88.5|
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| DeBERTa-v3-base |128|86 | **88.4/85.4** | **90.6/90.7**|
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| DeBERTa-v3-base + SiFT |128|86 | -/- | 91.0/-|
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We present the dev results on SQuAD 1.1/2.0 and MNLI tasks.
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