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

- Xet hash:
- 0a3ca0ae19bdef0768179c9e7dc3b700cee29fc0f9789c47b980fc0bcddb47d9
- Size of remote file:
- 152 kB
- SHA256:
- adcde31513a5e561d4e7f1d14fa3758570aa03273a58203b2ffb174becb76c78
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