Text Generation
fastText
Novial
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-constructed_auxlang
Instructions to use wikilangs/nov with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/nov with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/nov", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 86776009f2fe3c194d98c2ff71219d335cbb1e81c75198f2353ec4c55e736870
- Size of remote file:
- 283 kB
- SHA256:
- a928438487d7863e0cdcaaedc35ab6e5ba84e201f79a4795bd99ba1b28b0b887
·
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