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# Model Card for DeBERTa-v3-base-tasksource-nli
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DeBERTa-v3-base fine-tuned with multi-task learning on 560 tasks of the [tasksource collection](https://github.com/sileod/tasksource/)
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This checkpoint has strong zero-shot validation performance on many tasks (e.g. 70% on WNLI), and can be used for zero-shot NLI pipeline (similar to bart-mnli but better).
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You can also load other tasks (see next paragraph) or further fine-tune the encoder for new classification, token or multiple-choice.
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# Model Card for DeBERTa-v3-base-tasksource-nli
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This is [DeBERTa-v3-base](https://hf.co/microsoft/deberta-v3-base) fine-tuned with multi-task learning on 560 tasks of the [tasksource collection](https://github.com/sileod/tasksource/)
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This checkpoint has strong zero-shot validation performance on many tasks (e.g. 70% on WNLI), and can be used for zero-shot NLI pipeline (similar to bart-mnli but better).
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You can also load other tasks (see next paragraph) or further fine-tune the encoder for new classification, token or multiple-choice.
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