Text Generation
fastText
Banjar
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/bjn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/bjn with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/bjn", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 0aa785bda900d7415d66e5ac91df9639fd049b5468e316bf203b198c43078dc4
- Size of remote file:
- 265 kB
- SHA256:
- 983ed5f72c9c030fafb5b4478271eec15ebf8a89b1438fa5ab815f76074c40cd
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