Text Generation
fastText
Betawi
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-austronesian_malay
Instructions to use wikilangs/bew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/bew with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/bew", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d852760bb66826ba77be17b5ca0877cf75094f3edaead78edc924e6e51529ddd
- Size of remote file:
- 371 kB
- SHA256:
- b81e52a146ace8aa44a481f72860065a471fff3ef540cf10543aa2199e9b3adc
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