---
language: tg
license: mit
tags:
- fasttext
- tajik
- word-embeddings
- nlp
---

# Tajik FastText Word Embedding Model

This repository contains a pretrained **FastText** model for the Tajik language.

- **Training data**: Tokenized Tajik corpus
- **Total tokens**: 21,171,522
- **Vocabulary size**: 316,637
- **Model type**: FastText (with subword information)

## Files Included

| File | Description |
|------|-------------|
| `tajik_fasttext.model` | Gensim model file |
| `tajik_fasttext.model.wv.vectors_ngrams.npy` | Subword (n-gram) vectors |
| `tajik_fasttext.model.wv.vectors_vocab.npy` | Word vectors |

All three files are required to load the model correctly using Gensim.

## Usage

```python
from gensim.models import FastText

model = FastText.load("tajik_fasttext.model")
vector = model.wv["Точикистон"]  # Example word
```

## Citation

If you use this model, please cite the repository:

> ArabovMK, Tajik FastText Model, Hugging Face, 2025-05-08