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:
- 1ad5e565d4df3645fe34532949acecfa775e40c582e2bfafd5c4aa48bf8f26a3
- Size of remote file:
- 267 kB
- SHA256:
- 5a85114f063084a10d96431fdcb4ff5a49164f68a6d2f67c55bf245d3d0a38cd
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