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:
- ee0c21625f9f18e6b1b3359add39aac9004a72d930994734606f1b553c54c149
- Size of remote file:
- 518 kB
- SHA256:
- 6457de6aa823c755a1b20a45ce387912902fb50d31b7e53f4c58646a8e1692d1
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