Text Generation
fastText
Bulgarian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-slavic_south
Instructions to use wikilangs/bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/bg with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/bg", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_tsne_multilingual.png from wikilangs/bg: direct link, hf CLI and curl.
- Browser
- Download file 338 kB
-
https://huggingface.co/wikilangs/bg/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/bg/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/bg/resolve/main/visualizations/embedding_tsne_multilingual.png
338 kB

- Xet hash:
- 6105249992cb29acd3c9da9d6b46071a2a8388c7bf0f7e796eeb48331769c03c
- Size of remote file:
- 338 kB
- SHA256:
- efb1b3a6041ba8c2774daafcc81694490748391746756fada680ebb88ef395c4
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