Text Generation
fastText
Basque
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-basque
Instructions to use wikilangs/eu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/eu with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/eu", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/position_encoding_comparison.png from wikilangs/eu: direct link, hf CLI and curl.
- Browser
- Download file 120 kB
-
https://huggingface.co/wikilangs/eu/resolve/main/visualizations/position_encoding_comparison.png
- Command line
-
hf download hf://wikilangs/eu/visualizations/position_encoding_comparison.png
-
curl -L -o position_encoding_comparison.png https://huggingface.co/wikilangs/eu/resolve/main/visualizations/position_encoding_comparison.png
120 kB

- Xet hash:
- 4328751622a3b8c5002d38b3ef021b64186aba10115d966010648c4945739ef9
- Size of remote file:
- 120 kB
- SHA256:
- e94060dfbb3909ae9d7dfad84febf5506eca7f619ce1b882940d2fbf6e931a82
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