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:
- 81454bf1d85a81d7588474f3e0e64588a392c4e9f378aab560b8ce840ca105d7
- Size of remote file:
- 802 kB
- SHA256:
- 7c99324d6eaa8be7f25059b20415465f02f33826750c151c527842aad9838845
·
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