Instructions to use Seungyoun/ko-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Seungyoun/ko-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Seungyoun/ko-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from Seungyoun/ko-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 857 kB
-
https://huggingface.co/Seungyoun/ko-tokenizer/resolve/main/tokenizer.model
- Command line
-
hf download hf://Seungyoun/ko-tokenizer/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/Seungyoun/ko-tokenizer/resolve/main/tokenizer.model
857 kB
- Xet hash:
- 6353914bf90928a9915d70edc03385036298988ca3b0f7d3f2c55d2305757815
- Size of remote file:
- 857 kB
- SHA256:
- 3d862cb5e6fae4d843c23c52f407ea6b1e5e5e96f6e7974f8d7017fbc0c7edf4
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