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MatthewB245
/
emotion-classification-model

Text Classification
Safetensors
English
distilbert
emotion-classification
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xet
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@@ -27,13 +27,15 @@ This model fine-tunes DistilBERT for a multi-class emotion classification task.
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  - Weight Decay: 0.01
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  ## Usage
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- ‘‘‘python
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  from transformers import pipeline
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  classifier = pipeline("text-classification",
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  model="your-username/emotion-classification-model")
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  text = "I’m so happy today!"
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  result = classifier(text)
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  print(result)
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- ‘‘‘
 
 
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  ## Limitations
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  [Discuss any limitations you observed...]
 
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  - Weight Decay: 0.01
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  ## Usage
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+ ```python
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  from transformers import pipeline
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  classifier = pipeline("text-classification",
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  model="your-username/emotion-classification-model")
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  text = "I’m so happy today!"
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  result = classifier(text)
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  print(result)
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+ ```
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+
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+
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  ## Limitations
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  [Discuss any limitations you observed...]