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:
- 7f513687db23d85af5016a3ebdd3c584a2fe0953b5b65b320b8e66a646661cea
- Size of remote file:
- 578 kB
- SHA256:
- c80d69062084ae4367d5fd79624d29d9a90e47a9376347074a303243df98cd5e
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