Text Generation
fastText
Vlaams
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-germanic_west_continental
Instructions to use wikilangs/vls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/vls with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/vls", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_words.png from wikilangs/vls: direct link, hf CLI and curl.
- Browser
- Download file 656 kB
-
https://huggingface.co/wikilangs/vls/resolve/main/visualizations/tsne_words.png
- Command line
-
hf download hf://wikilangs/vls/visualizations/tsne_words.png
-
curl -L -o tsne_words.png https://huggingface.co/wikilangs/vls/resolve/main/visualizations/tsne_words.png
656 kB

- Xet hash:
- 66cddc9c9714fe921fba6db8a89d237d6c8ee7bb36b35c4561ac00736fd09c05
- Size of remote file:
- 656 kB
- SHA256:
- cf5181459b99e0155b87d9e2ddaaac64fb037b502839eb110acd4b45f805e0cd
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