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# Model Card for mDeBERTa-v3-base-tasksource-nli
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Multilingual [mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) with 30k steps multi-task training on [mtasksource](https://github.com/sileod/tasksource/blob/main/src/tasksource/mtasks.py)
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This model can be used as a stable starting-point for further fine-tuning, or directly in zero-shot NLI model or a zero-shot pipeline.
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In addition, you can use the provided [adapters](https://huggingface.co/sileod/mdeberta-v3-base-tasksource-adapters) to directly load a model for hundreds of tasks.
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```python
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!pip install tasknet, tasksource -q
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pipe(['si','como esta?'])
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```
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# Software
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https://github.com/sileod/tasksource/
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https://github.com/sileod/tasknet/
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# Contact and citation
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# Model Card for mDeBERTa-v3-base-tasksource-nli
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Multilingual [mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) with 30k steps multi-task training on [mtasksource](https://github.com/sileod/tasksource/blob/main/src/tasksource/mtasks.py)
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This model can be used as a stable starting-point for further fine-tuning, or directly in zero-shot NLI model or a zero-shot pipeline.
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In addition, you can use the provided [adapters](https://huggingface.co/sileod/mdeberta-v3-base-tasksource-adapters) to directly load a model for hundreds of tasks.
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```python
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!pip install tasknet, tasksource -q
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pipe(['si','como esta?'])
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```
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For more details, see [deberta-v3-base-tasksource-nli](https://huggingface.co/sileod/deberta-v3-base-tasksource-nli) and replace tasksource by mtasksource.
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# Software
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https://github.com/sileod/tasksource/
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https://github.com/sileod/tasknet/
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# Contact and citation
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