Text Generation
fastText
Ladin
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/lld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/lld with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/lld", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 96c5e0de21dae0cdac7cc33b1cd92fbebd77940f13e9a42d2898f0b216c85d2d
- Size of remote file:
- 265 kB
- SHA256:
- 48f2fb39a2c2ea76e85e38f9c49b620cac62ef95356df0c186e58a17970dd08f
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