Text Generation
fastText
Russia Buriat
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-mongolic
Instructions to use wikilangs/bxr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/bxr with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/bxr", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_words.png from wikilangs/bxr: direct link, hf CLI and curl.
- Browser
- Download file 645 kB
-
https://huggingface.co/wikilangs/bxr/resolve/main/visualizations/tsne_words.png
- Command line
-
hf download hf://wikilangs/bxr/visualizations/tsne_words.png
-
curl -L -o tsne_words.png https://huggingface.co/wikilangs/bxr/resolve/main/visualizations/tsne_words.png
645 kB

- Xet hash:
- e8c3665548da81f18701fa76995ed7f84bff7b3b8cb8b5c55ae95e1a32366d12
- Size of remote file:
- 645 kB
- SHA256:
- 9ff2de10d059944c51201ebb8ad6c2f5be5c1968962c318cffd2e20e828456be
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