# DistilBERT Model with Hugging Face Transformers
A basic implementation of **DistilBERT** using the Hugging Face Transformers library to demonstrate its capabilities for NLP tasks such as text classification, sentiment analysis, and more.

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## Features
- Load and use pre-trained DistilBERT without custom fine-tuning.
- Perform text-based tasks out of the box.
- Simple and reusable implementation.

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## Requirements
- Python >= 3.7
- Transformers
- PyTorch

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## Usage

### **1. Text Classification**
Use the pre-trained DistilBERT model to classify text:
```bash
python app.py --text "Enter your text here."

2. Tokenization

Process text using DistilBERT's text similarity:

python app.py --text "Entet your text here."

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Project Structure

• classify.py: Script to classify text using pre-trained DistilBERT.
• similarity.py: Script to similarity input text.

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License

This project is licensed under the MIT License.