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solwol
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roberta-sentiment-classifier-peft

Text Classification
PEFT
Safetensors
roberta
Model card Files
xet
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@@ -44,8 +44,6 @@ from transformers import AutoTokenizer, TextClassificationPipeline
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  tokenizer = AutoTokenizer.from_pretrained("roberta-base")
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  classifier = TextClassificationPipeline(model=model, tokenizer=tokenizer)
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  classifier("This is awesome!")
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  [{'label': '👍', 'score': 0.9765560626983643}]
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  ```
 
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  tokenizer = AutoTokenizer.from_pretrained("roberta-base")
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  classifier = TextClassificationPipeline(model=model, tokenizer=tokenizer)
 
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  classifier("This is awesome!")
 
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  [{'label': '👍', 'score': 0.9765560626983643}]
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  ```