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

- Xet hash:
- 455f689039e62f15c281b242159ff940fd472e85a91f8da94ae532725eb347c7
- Size of remote file:
- 262 kB
- SHA256:
- 067d1c6ed4181644d109538d8989262b81aee2b874ed10488d672c9ab3609dc1
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