Text Generation
fastText
Tajik
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-iranian_western
Instructions to use wikilangs/tg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/tg with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/tg", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- e39df9a7bf4681dec96bbe382679233cefc53c2ba8551f7bd645358ff2dd190e
- Size of remote file:
- 113 kB
- SHA256:
- 5c05130a163c8cb792ae2ddc51115c60b8638cc7161ca64d765c3740ea7b38fe
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