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:
- 07c0910441f310d1ff73c8a1354f5cf99757e739fdbf49fad9ac3235bdedce85
- Size of remote file:
- 157 kB
- SHA256:
- d4a7344dfde27fe391aceba9effef5ab1e438f9bdab660cb1708d842fb4a9f44
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