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:
- 44d583804c96c3ed4f0b2ed08ee0e50ed570f0a250374f82f8a76c486a389c90
- Size of remote file:
- 147 kB
- SHA256:
- fdb4cdc51af9fa9196a2616ac9639ce2259cca2ecef3bf366462a8a0db826a18
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