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Sentiment Analysis Model

This is a fine-tuned DistilBERT model for sentiment analysis.

Usage

from transformers import pipeline

# Load the model
classifier = pipeline("text-classification", model="andyfe/sentiment-distilbert")

# Make predictions
text = "Your text here"
result = classifier(text)
print(result)

Labels

  • 0: Strong Negative
  • 1: Mild Negative
  • 2: Neutral
  • 3: Mild Positive
  • 4: Strong Positive

Model Details

This model is fine-tuned on sentiment analysis data using DistilBERT as the base model.

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Model size
67M params
Tensor type
F32
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