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README.md
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model-index:
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- name: mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# mDeBERTa-v3-base-xnli-multilingual-nli
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This model is a fine-tuned version of [MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7) on the None dataset.
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It achieves the following results on the evaluation set:
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- Transformers 4.33.3
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- Pytorch 2.5.1+cu121
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- Datasets 2.14.7
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- Tokenizers 0.13.3
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model-index:
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- name: mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
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results: []
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datasets:
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- asadfgglie/BanBan_2024-10-17-facial_expressions-nli
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language:
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- zh
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pipeline_tag: zero-shot-classification
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# mDeBERTa-v3-base-xnli-multilingual-zeroshot-v3.0-only-non-nli
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This model is a fine-tuned version of [MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7) on the None dataset.
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It achieves the following results on the evaluation set:
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- Transformers 4.33.3
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- Pytorch 2.5.1+cu121
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- Datasets 2.14.7
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- Tokenizers 0.13.3
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