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

- Xet hash:
- 07b18f59f4c581d2c52ca2a0071276df5b1129cdc0071c404c7196805debfde3
- Size of remote file:
- 107 kB
- SHA256:
- da8ce4bf6d20f20c689423b88faa289ba4d4f7e1ab7132f7d10ee46ea27a0b87
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