Text Generation
fastText
Czech
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-slavic_west
Instructions to use wikilangs/cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/cs with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/cs", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d50c1783edeac32138e8b7c881af8b16b290cc19b13bbd4900455be1aff7ce4e
- Size of remote file:
- 514 kB
- SHA256:
- a79a59e7e6f05b35164ccd20e22fd357803c388d68fffcb0739fea4e66115909
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.