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language: |
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- multilingual |
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- zh |
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- ja |
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- ar |
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- ko |
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- de |
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- fr |
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- es |
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- pt |
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- hi |
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- id |
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- it |
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- tr |
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- ru |
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- bn |
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- ur |
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- mr |
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- ta |
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- vi |
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- fa |
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- pl |
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- uk |
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- nl |
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- sv |
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- he |
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- sw |
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- ps |
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tags: |
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- text-classification |
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- zero-shot-classification |
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- nli |
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- pytorch |
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pipeline_tag: zero-shot-classification |
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library_name: transformers |
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license: mit |
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base_model: MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 |
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Multilingual mDeBERTa base model fineted on Text_emotions dataset. |
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Dataset link : https://www.kaggle.com/datasets/nelgiriyewithana/emotions/data |
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Finetuned for classifying text into sadness (0) joy (1) love (2) anger (3) fear (4) and surprise (5) emotions. |
