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:
- ac94a4fbded071c4880851430f05108998e94e43afdf70c07033d365344a5021
- Size of remote file:
- 108 kB
- SHA256:
- 36ca0773473b85e04da63b3463078a44300c84dc9ef8b086033a42fb703ee620
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