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

- Xet hash:
- 6dc171753bd3746406b19359b125d1c35985a52e5e956aa9d9b13c52dd6ffd30
- Size of remote file:
- 394 kB
- SHA256:
- d4fda4c5d0f78a7b5bd0e9e570b9520f0a2eef91a014629f0ec73e868a8bdf2e
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