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:
- 1c6e7d95e116803e2f4cf41676115286e9a9210e42a70d639612cf4aacd32ec9
- Size of remote file:
- 1.41 MB
- SHA256:
- 323b0a318b5c9b02e244e483690f7fa203b8c88676adbcc5cecb4e5dfbfe7a19
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