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

- Xet hash:
- 734e5f1c905cce4a0bc43a6a742ac3995f99ad94f4a28b1ce8c0c9be667fce80
- Size of remote file:
- 111 kB
- SHA256:
- 25d84c8ea20d6ac6a48be550048c9d0920b3f0ffc8bd409ceda8e12332ce358b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.