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Rugs25/simple-sentiment-analyzer

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face

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Simple Sentiment Analyzer

🚀 This is a sentiment analysis model trained to classify text as Positive or Negative.

Model Details

—Architecture: DistilBERT (fine-tuned for sentiment classification)
—Framework: 🤗 Transformers
—Files included:
—config.json
—model.safetensors
—tokenizer.json
—tokenizer_config.json
—special_tokens_map.json
—vocab.txt

Usage

python

from transformers import pipeline

classifier = pipeline("sentiment-analysis", model="Rugs25/simple-sentiment-analyzer")

print(classifier("I love Hugging Face!"))  # → POSITIVE
print(classifier("This is terrible."))     # → NEGATIVE