Text Generation
fastText
Tuvinian
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_siberian
Instructions to use wikilangs/tyv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/tyv with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/tyv", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 003acb706908d77c62434348332788c4f194af9ec05a16f67e66df1522515237
- Size of remote file:
- 148 kB
- SHA256:
- 5c0b07fb98ff3bb293b925660d263a311cc6a134e4a093de688d548f5e57b6af
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