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:
- 01fcdd9d1ec10a820e24e9a4fb705e18da13a3776640e5b75e4a79f317a9da8f
- Size of remote file:
- 114 kB
- SHA256:
- 53fb3a79de4fb8300fc9f6fe1c1ddf6242f07649bde47c5e749c95eef0b46125
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