| --- |
| tags: |
| - sentiment-analysis |
| - transformers |
| - text-classification |
| license: apache-2.0 |
| datasets: |
| - imdb |
| language: |
| - en |
| --- |
| |
| # 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 |
| |
