Text Generation
fastText
Lak
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/lbe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/lbe with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/lbe", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_tsne_multilingual.png from wikilangs/lbe: direct link, hf CLI and curl.
- Browser
- Download file 257 kB
-
https://huggingface.co/wikilangs/lbe/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/lbe/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/lbe/resolve/main/visualizations/embedding_tsne_multilingual.png
257 kB

- Xet hash:
- c6529e474dbc214fff91d56fd5c485bc3f722e07787ecdbcae183de427d5d5fb
- Size of remote file:
- 257 kB
- SHA256:
- c5fa9c4ad783605fefbfa8863db473bf20c662d6d0028a3274b5715ae48f801b
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