Text Generation
fastText
Luxembourgish
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/lb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/lb with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/lb", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/lb: direct link, hf CLI and curl.
- Browser
- Download file 250 kB
-
https://huggingface.co/wikilangs/lb/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/lb/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/lb/resolve/main/visualizations/tsne_sentences.png
250 kB

- Xet hash:
- 2c5268b7e9cb9542fd1e8e047556eda17fa490fb78f7adf1039b3a76a3c2e616
- Size of remote file:
- 250 kB
- SHA256:
- 5be572e4cf16626d94c0b5be16c6167372d4815dc2ba515bb9036115ca91c0eb
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