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:
- 2ff4f9e0a0613034a95494e09cb2502eefce87c3f3e8e9d2ca33edc7da7bec53
- Size of remote file:
- 1.04 GB
- SHA256:
- a8583de738da746e8eb529ee580991023bfc888a171e45fbf21099056d979af7
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