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-10/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-10/pytorch_model.bin
- Command line
-
hf download hf://kejian/debug-push/checkpoint-10/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kejian/debug-push/resolve/main/checkpoint-10/pytorch_model.bin
457 MB
- Xet hash:
- f275b909883ee9ddfb701715e39f1516fd447ca2ea725f5e6b8e0951082ddfae
- Size of remote file:
- 457 MB
- SHA256:
- 207898354a8e24dacd6ad648a2c48269a9c6125bbf92564903e6da6e1ba9334e
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