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:
- 26902f3d4a58e814027d6169f9c3e93e46ab31700c89cf716239a9e6afada6e2
- Size of remote file:
- 194 kB
- SHA256:
- b209bd5b1208e847902c7273fd369c112d8cd1ca9d925c6ebb36d212643f58d6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.