Text Generation
fastText
Breton
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-celtic_brythonic
Instructions to use wikilangs/br with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/br with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/br", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/position_encoding_comparison.png from wikilangs/br: direct link, hf CLI and curl.
- Browser
- Download file 108 kB
-
https://huggingface.co/wikilangs/br/resolve/main/visualizations/position_encoding_comparison.png
- Command line
-
hf download hf://wikilangs/br/visualizations/position_encoding_comparison.png
-
curl -L -o position_encoding_comparison.png https://huggingface.co/wikilangs/br/resolve/main/visualizations/position_encoding_comparison.png
108 kB

- Xet hash:
- 94c5428f1d80c7f25095280409350ed1cad8539ab43f50931041f79131dded10
- Size of remote file:
- 108 kB
- SHA256:
- 8e313d0b2985e5e30b80ed18aba5676735676d2928ebc103320e052d657ab015
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