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:
- 01ed8ae4fc7c18ab9a67cae7eadaaf8c093b5fbacd5c4c1034acd2a428d61003
- Size of remote file:
- 1.38 MB
- SHA256:
- 2cc11a5eecefd212cbdda22d016e98fbfb6fa1cf0188d29bb6d700dc577e2a53
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