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