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:
- c7504a45bcb62670fd5115d2b62b2b196a90c1f4dfd8d657416872d3d2f5c5ec
- Size of remote file:
- 160 kB
- SHA256:
- b0e54e0949bafc3d03a5ac32c67ab4ab5dfcc67556f0ab269c47c961e3112657
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