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:
- 5e80603e47ec03ea40eb5adb7a777b23c6a8059f20be5e6f749c90a5efc883de
- Size of remote file:
- 16.5 kB
- SHA256:
- c724a01f4877623ce437a678c2485a0d1c24038120be36ee9dd4f136c624e456
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