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  pipeline_tag: zero-shot-classification
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  language:
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  - en
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # T5ForSequenceClassification
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  **T5ForSequenceClassification** adapts the original [T5](https://github.com/google-research/text-to-text-transfer-transformer) architecture for sequence classification tasks.
 
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  pipeline_tag: zero-shot-classification
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  language:
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  - en
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+ model-index:
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+ - name: AntoineBlanot/flan-t5-xxl-classif-3way
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+ results:
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+ - task:
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+ type: nli # Required. Example: automatic-speech-recognition
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+ name: Natural Language Inference # Optional. Example: Speech Recognition
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+ dataset:
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+ type: multi_nli # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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+ name: MNLI # Required. A pretty name for the dataset. Example: Common Voice (French)
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+ metrics:
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+ - type: accuracy # Required. Example: wer. Use metric id from https://hf.co/metrics
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+ value: 92.2 # Required. Example: 20.90
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  ---
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  # T5ForSequenceClassification
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  **T5ForSequenceClassification** adapts the original [T5](https://github.com/google-research/text-to-text-transfer-transformer) architecture for sequence classification tasks.