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

- Xet hash:
- 34d400f2135b7bf20acfdea131a96a3a32f71d2afa4adde44e6664bc0a697829
- Size of remote file:
- 120 kB
- SHA256:
- 2a4ac564164708bbd503accc29776d9c6f6894671e2fc9969b8e17b1ae34f2b6
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