# Hindi Tokenizer

A specialized tokenizer for Hindi language processing with a vocabulary size of 150,000 tokens.

## Overview

This tokenizer is designed specifically for Hindi language processing tasks. With a vocabulary size of 150,000 tokens, it provides comprehensive coverage of Hindi words, subwords, and characters to effectively handle the unique characteristics of the Hindi language.

## Features

- **Large Vocabulary**: 150,000 tokens covering common Hindi words, subwords, and characters
- **Specialized for Hindi**: Optimized for Hindi's morphological richness and linguistic structure
- **Unicode Support**: Full support for Devanagari script and Unicode characters
- **Efficient Processing**: Optimized for speed and memory usage with Hindi text
- **Hugging Face Integration**: Compatible with the Transformers library ecosystem

## Installation

```bash
pip install hindi-tokenizer
# or
pip install git+https://huggingface.co/YOUR_USERNAME/hindi-tokenizer
```

## Usage

### Basic Usage

```python
from transformers import AutoTokenizer

# Load the tokenizer
tokenizer = AutoTokenizer.from_pretrained("YOUR_USERNAME/hindi-tokenizer")

# Example Hindi text
text = "नमस्ते, यह एक हिंदी पाठ का उदाहरण है।"

# Tokenize
tokens = tokenizer(text)
print(tokens)

# Decode
decoded = tokenizer.decode(tokens["input_ids"])
print(decoded)
```

### Advanced Usage

```python
# Batch processing
texts = [
    "भारत एक विशाल देश है।",
    "हिंदी भारत की प्रमुख भाषाओं में से एक है।"
]

# Tokenize with padding and truncation
tokens = tokenizer(texts, padding=True, truncation=True, max_length=128)
print(tokens)
```

## Training Details

This tokenizer was trained on a large corpus of Hindi text using [BPE]. The training data includes:

- [https://www.kaggle.com/datasets/rushikeshdarge/hindi-text-corpus]


## Model Details

- **Vocabulary Size**: 150,000 tokens
- **Tokenization Algorithm**: [BPE]


## Citation

If you use this tokenizer in your research, please cite:

```bibtex
@misc{hindi-tokenizer,
  author = {Your Name},
  title = {Hindi Tokenizer: A Large Vocabulary Tokenizer for Hindi NLP},
  year = {2025},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/YOUR_USERNAME/hindi-tokenizer}}
}
```



## Contact

[akshaw.ak4@gmail.com]