# Hindi to English Translation Model

This repository contains a pre-trained machine translation model for translating text from Hindi to English. The model is based on the **Helsinki-NLP/opus-mt-hi-en** model, utilizing the **Transformers** framework.

## Model Details

- **Model Name:** Helsinki-NLP/opus-mt-hi-en  
- **Language:** Hindi to English  
- **Framework:** Transformers (Hugging Face)  
- **License:** Apache 2.0  

## Installation

To use this model, install the required dependencies:

```bash
pip install transformers torch
```

## Usage

You can use this model with the Hugging Face `transformers` library as follows:

```python
from transformers import MarianMTModel, MarianTokenizer

def translate(text):
    model_name = "Helsinki-NLP/opus-mt-hi-en"
    tokenizer = MarianTokenizer.from_pretrained(model_name)
    model = MarianMTModel.from_pretrained(model_name)
    
    # Tokenize input text
    inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
    
    # Generate translation
    translated_tokens = model.generate(**inputs)
    translation = tokenizer.batch_decode(translated_tokens, skip_special_tokens=True)
    
    return translation[0]

# Example usage
hindi_text = "\u092e\u0947\u0930\u093e \u0928\u093e\u092e \u0930\u093e\u0939\u0941\u0932 \u0939\u0948"
english_translation = translate(hindi_text)
print("Translation:", english_translation)
```

## License

This project is licensed under the **Apache 2.0** License. See the [LICENSE](https://www.apache.org/licenses/LICENSE-2.0) file for more details.

## Acknowledgments

- **Helsinki-NLP** for providing the OPUS-MT model.
- **Hugging Face** for the `transformers` library.