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/embedding_norms.png from wikilangs/bxr: direct link, hf CLI and curl.
- Browser
- Download file 35.1 kB
-
https://huggingface.co/wikilangs/bxr/resolve/main/visualizations/embedding_norms.png
- Command line
-
hf download hf://wikilangs/bxr/visualizations/embedding_norms.png
-
curl -L -o embedding_norms.png https://huggingface.co/wikilangs/bxr/resolve/main/visualizations/embedding_norms.png
35.1 kB
