Text Generation
fastText
Balinese
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_other
Instructions to use wikilangs/ban with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ban with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ban", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/position_encoding_comparison.png from wikilangs/ban: direct link, hf CLI and curl.
- Browser
- Download file 110 kB
-
https://huggingface.co/wikilangs/ban/resolve/main/visualizations/position_encoding_comparison.png
- Command line
-
hf download hf://wikilangs/ban/visualizations/position_encoding_comparison.png
-
curl -L -o position_encoding_comparison.png https://huggingface.co/wikilangs/ban/resolve/main/visualizations/position_encoding_comparison.png
110 kB

- Xet hash:
- 1a9dfaaf3182ab3bf1151b02d51ba1e4cd28b6593e54ad013391d22b4c7205d8
- Size of remote file:
- 110 kB
- SHA256:
- d11d0dc4639ecab52fa47c9cef9e243ccc2af011bc0a8031162a66bb7cd5ee25
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