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:
- ae4388bbd448d161d9d60cb0bfdf5c95c1a043ca8957296e28cfd45d84718c8a
- Size of remote file:
- 402 kB
- SHA256:
- 09d4a38384f819820273782f7c42d72dcc8548594887348f8c084c5f7aa8e53a
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