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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
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