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

- Xet hash:
- 33601be3c96e6e7aaa41ef53b3e4bd2f02f77df2529820e02642bc3da62ad970
- Size of remote file:
- 119 kB
- SHA256:
- 4b3a83bac42d51fcd2332b06af6890bdfd03c32e4c32e0b39c02b5313f671d08
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.