Instructions to use kejian/debug-push with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/debug-push with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/debug-push") model = AutoModel.from_pretrained("kejian/debug-push", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-15/pytorch_model.bin from kejian/debug-push: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/kejian/debug-push/resolve/main/checkpoint-15/pytorch_model.bin
- Command line
-
hf download hf://kejian/debug-push/checkpoint-15/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kejian/debug-push/resolve/main/checkpoint-15/pytorch_model.bin
457 MB
- Xet hash:
- 37db3546ec15b96c88c1d06b76e2c3d7920ebf28bc380fc9678d14e3700ee3ef
- Size of remote file:
- 457 MB
- SHA256:
- c4a7e6ceaa14df32fb38c10e5c4fc0faf34e0b1a9451b107db0bf745ac01bff3
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