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@@ -79,9 +79,7 @@ pipeline_tag: zero-shot-classification
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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
@@ -92,9 +90,10 @@ pipe=tn.load_pipeline(
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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