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:
- ce07ed7a1b227c954684532f8f4962b6fb9800a66d189b0e3132021947551d86
- Size of remote file:
- 398 kB
- SHA256:
- 14c9f9342e9ab06d33666d7e4ca13b9d1b8638f1ef193496df568eabc8b9e46b
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