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:
- bd3154bbd493cb247ce3f37dc49de1d69b534b37ac0ded44faa42ea7facc4dca
- Size of remote file:
- 143 kB
- SHA256:
- a8998d65ec0ff82c11265297c0bb6e1e215f4e9b9e25b628e66c2b42c9578b06
·
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