Text Generation
fastText
Cherokee
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_iroquoian
Instructions to use wikilangs/chr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/chr with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/chr", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 7c26dd84adaf6d7666c446f2f5034f13682396a848e40b495d805ebae9fa121c
- Size of remote file:
- 250 kB
- SHA256:
- 32eca3c02af99d1fe74916ae3c9f6f482e20b8c5534434dc06c44a7fc5805f6c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.