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:
- b313edf8ad2573f0af41b511e672cdd0d0fce1c7f218dc5b381a24c3854090bf
- Size of remote file:
- 712 kB
- SHA256:
- e9a8550f0d3e7a072b57a8768a03779b3c8d4f0041e536d848f8cc34456bb1db
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