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

- Xet hash:
- f2f2f0ae208d0d6b0fec03c52271d6799d6bd7d552c4b39f141baf1bb17fa380
- Size of remote file:
- 386 kB
- SHA256:
- 196d16b0247f2f710aed70f60b178f9e34e8e54c6e007bbc84d24ff4d21ccbee
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