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:
- c6608bad094317c7588332403e8538c9e9c24a21090df6da9db116302a74bba0
- Size of remote file:
- 275 kB
- SHA256:
- 3bc2028dfe0b1bd4cc31c8926e279aa85f5ef59ef2202f63f6b2f7f6ba5e2ca1
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