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 pytorch_model.bin from lyan62/pixel_cjk_base: direct link, hf CLI and curl.
- Browser
- Download file 462 MB
-
https://huggingface.co/lyan62/pixel_cjk_base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://lyan62/pixel_cjk_base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lyan62/pixel_cjk_base/resolve/main/pytorch_model.bin
462 MB
- Xet hash:
- afa4c16d039850a30a123923816859b45afbadb2701f5597477efcb9b31f0761
- Size of remote file:
- 462 MB
- SHA256:
- 49f914dc71da32d66d6ee5708e2dda2398244353d3c97bf98808608eeeb1da35
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