Create README.md

README.md

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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