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README.md

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+# 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.
+