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:
- 6cd0ad30d9f64d11b9eaa178b3c2bde3f13c4d98e4cc8f31e7d1c3744fb2ad4d
- Size of remote file:
- 659 kB
- SHA256:
- 75262c1e95aaf62afec5f2915a2fcc5caa469f18eb30ea9c9c8052269b1a4699
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