Text Generation
fastText
Arpitan
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-romance_galloitalic
Instructions to use wikilangs/frp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/frp with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/frp", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_tsne_multilingual.png from wikilangs/frp: direct link, hf CLI and curl.
- Browser
- Download file 248 kB
-
https://huggingface.co/wikilangs/frp/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/frp/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/frp/resolve/main/visualizations/embedding_tsne_multilingual.png
248 kB

- Xet hash:
- 6adc07bf71f9689847803c14392f1fd94df43540e74f260aa2bdd3cd472d6d8f
- Size of remote file:
- 248 kB
- SHA256:
- d5e9a9bbcb921f2569388c10ba62a3026255cf600db6efca9a86311fc0bb0547
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