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

- Xet hash:
- 5aaf06b9f45eb4ec4a523ef62f3f6a51d202a0de003c11c1ee69dbc2468ea7b5
- Size of remote file:
- 115 kB
- SHA256:
- b5d6f29f119bc17641e7c4d43a9c9c4155ca01f344de082817fbbb5afd0cbc0a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.