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  license: mit
 
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  ---
 
 
 
 
 
 
 
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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.