| 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 | |