Instructions to use cahya/nusa-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cahya/nusa-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cahya/nusa-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
set max sec length to 8192
libeanim1b125c4
-
Upload tokenizer
Verified signature69e852e -
Upload tokenizer
Verified signature065eb75 -
Upload tokenizer
Verified signature1124493 -
Upload tokenizer
Verified signatureff9010d -
Upload tokenizer
Verified signature989c7ab -
initial commit
Verified signature3c5cd1e