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

- Xet hash:
- d6c0dbdca6b66663f8fce8a9e391f648a79c034d2ebc7349cf94d3a931d1dd1c
- Size of remote file:
- 373 kB
- SHA256:
- 13c7e72162251d3b30469d137f1adf71274242efe89bc586346a721493c4c9ec
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