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:
- 10f631a6ef2be190d7b4f760bd7a91984e3130c0375e387b860539d19a6fc63f
- Size of remote file:
- 1.05 GB
- SHA256:
- 4c1061984582f9207cd3628d6c50e019b4fd0a546b739b4ae515476e734b2b9a
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