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/embedding_similarity.png from wikilangs/vls: direct link, hf CLI and curl.
- Browser
- Download file 146 kB
-
https://huggingface.co/wikilangs/vls/resolve/main/visualizations/embedding_similarity.png
- Command line
-
hf download hf://wikilangs/vls/visualizations/embedding_similarity.png
-
curl -L -o embedding_similarity.png https://huggingface.co/wikilangs/vls/resolve/main/visualizations/embedding_similarity.png
146 kB

- Xet hash:
- 9363f3aeb81ef907444c6dc652a77432807db073a86f8616f12960e7aaa0ed60
- Size of remote file:
- 146 kB
- SHA256:
- 9d3ea0702f104ae5b4013160aba76a1304c3cc24aa7c86cfec80c14277b85d72
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