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:
- 3950a7b9597577b5826519b028ba7b4db8563e8c818771242518ceb1e408f3a0
- Size of remote file:
- 164 kB
- SHA256:
- 52a66364cfb793d5e1672a4e9e19b2076f160823860194cc5389e3bb311eb56e
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