Text Generation
fastText
Bislama
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-germanic_west_anglofrisian
Instructions to use wikilangs/bi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/bi with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/bi", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 4245b42050fa2d4f672d0d6456f32a53cf35a75e3e3574de04b03f9eb66e1664
- Size of remote file:
- 379 kB
- SHA256:
- a28bf601011b060b34dcbd0cd85786a5dc2a4fa662e793aefddb86063d04a34e
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