Text Generation
fastText
Limburgish
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/li with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/li with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/li", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/li: direct link, hf CLI and curl.
- Browser
- Download file 278 kB
-
https://huggingface.co/wikilangs/li/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/li/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/li/resolve/main/visualizations/tsne_sentences.png
278 kB

- Xet hash:
- 2faa3b05263619371c59555b47baa36071507301d15435aa0f9878c6572f216e
- Size of remote file:
- 278 kB
- SHA256:
- bd4b1316f043f37b9340a5036c3188cd5233953c076e073b0767d0a769d18812
·
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