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:
- c1c63145d96d0c7b92358ac8bed55c622082e4c46e0279db851cd595b51bbe6d
- Size of remote file:
- 105 kB
- SHA256:
- 9e4a7ee8ad741d3f385d4aa4f4d7020746300ac1d7d088c019166a0c9911ce9b
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