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:
- 8e92c0889b21e2ae9fe1d29da14fca07d45f47e1b70289fcef48410310cfcc2e
- Size of remote file:
- 271 kB
- SHA256:
- 7baf017fcb6afa44fc521d763476a6533db45f16124dbfbb3d847e25778bcdd5
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