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:
- a1458d5f67f2547163a55ac93ac090c22719303c2bd718e64caa48d645be8a67
- Size of remote file:
- 272 kB
- SHA256:
- 45a7e80f4a174ca19ba672e91f065a39e4942d1283ab854f6a2911702fbf2b02
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