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
Download visualizations/tsne_sentences.png from wikilangs/nov: direct link, hf CLI and curl.
- Browser
- Download file 273 kB
-
https://huggingface.co/wikilangs/nov/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/nov/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/nov/resolve/main/visualizations/tsne_sentences.png
273 kB

- Xet hash:
- fbd53664a1fe09a3361fa609c1211ab9b6c95e974cbaa3474f8118fc111428b7
- Size of remote file:
- 273 kB
- SHA256:
- 5e4fc9e382886fe7864f13a856b366d46a832ba05d5a67b7d8b62285cb0c156c
·
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