Text Generation
fastText
Ligurian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-romance_galloitalic
Instructions to use wikilangs/lij with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/lij with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/lij", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 732f1f3ce236822245302c4296e903c9fbc17187b17631a20f2b4209ae35ad7c
- Size of remote file:
- 117 kB
- SHA256:
- 44db7dc0ee29f86b0377dbc07821b30cc525b5cc7a0a2e94e0ac779362d2d844
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