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

- Xet hash:
- f1588bb0473d5dfd9fb03c85d11bcb1993aca013c07c3229324809e9179ea338
- Size of remote file:
- 104 kB
- SHA256:
- 531cbcad3c211d39845df0b0b4b314b0199f3352491f219d9b32decb87c22fd9
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