Text Generation
fastText
Kabiyè
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_gur
Instructions to use wikilangs/kbp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/kbp with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/kbp", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- f94047325368858fa80e323900a3de7458d47e3ab484373543b10f834cfce051
- Size of remote file:
- 722 kB
- SHA256:
- 107421c7bf1f8b49dbba35bb83606b0749a537874fced369a4f595283ac98440
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