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

- Xet hash:
- 5b289bc0a7fc4bd1e5974242787af1ae4e6d60cf1ea28b31d09b70ca13d9ac5e
- Size of remote file:
- 371 kB
- SHA256:
- cab2936fad48ab0d75a32ec9446c1bef7ba405a7c5591300197061c54571b948
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