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:
- d8244c272a4623f820d4d87b5abe101de7daed0cae46c5fc94222f170a91a7c0
- Size of remote file:
- 1.31 MB
- SHA256:
- acc7592775f6080417e35fbfdf3e0ee13f50e2528b9f4c3e30b27bee926e8b47
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