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

- Xet hash:
- e84021ffed41cb36aadffffa3ad7ab8b47fc880624aba8052d50e9cf6b42ede3
- Size of remote file:
- 387 kB
- SHA256:
- 3dc6a3ee7437067abaaed8b2eff5dcfd8095472a9e7f5e2673d94d52faf63609
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