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
Download visualizations/tsne_sentences.png from wikilangs/ka: direct link, hf CLI and curl.
- Browser
- Download file 247 kB
-
https://huggingface.co/wikilangs/ka/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/ka/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/ka/resolve/main/visualizations/tsne_sentences.png
247 kB

- Xet hash:
- 329e47cecca796f130cdd18cff447c70ee500be018ff18be036a92651ca69358
- Size of remote file:
- 247 kB
- SHA256:
- 554ca0b270f41d7fe82a06ddb149d5db8b35b2b93f2865d40442a98334596555
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