Instructions to use lyan62/pixel_cjk_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lyan62/pixel_cjk_base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("lyan62/pixel_cjk_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from lyan62/pixel_cjk_base: direct link, hf CLI and curl.
- Browser
- Download file 3.18 kB
-
https://huggingface.co/lyan62/pixel_cjk_base/resolve/main/training_args.bin
- Command line
-
hf download hf://lyan62/pixel_cjk_base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lyan62/pixel_cjk_base/resolve/main/training_args.bin
3.18 kB
- Xet hash:
- 22f37e21b0264c82b0bf9dd4a8da11476e5520ff50e378db6dfd365f3e10a148
- Size of remote file:
- 3.18 kB
- SHA256:
- 8aeaf4d4a5fd3126940acacbe25a45b1b9c4176b1ec8bb800cbbbc58456a3e47
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