Text Generation
fastText
Belarusian
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_east
Instructions to use wikilangs/be with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/be with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/be", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tokenizer_compression.png from wikilangs/be: direct link, hf CLI and curl.
- Browser
- Download file 43.4 kB
-
https://huggingface.co/wikilangs/be/resolve/90539ec3e0e027e613e2727fba2bee9727906e6b/visualizations/tokenizer_compression.png
- Command line
-
hf download hf://wikilangs/be@90539ec3e0e027e613e2727fba2bee9727906e6b/visualizations/tokenizer_compression.png
-
curl -L -o tokenizer_compression.png https://huggingface.co/wikilangs/be/resolve/90539ec3e0e027e613e2727fba2bee9727906e6b/visualizations/tokenizer_compression.png
43.4 kB
