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

- Xet hash:
- 8428887d059437f18a202a60aa53c67fb97bdd0447d8e56e8a0572ece6e45158
- Size of remote file:
- 356 kB
- SHA256:
- f2b6ae27fcfed64b1b19e16ec4bbecb5cd8069e6f86ce21f03c00358dcbaece0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.