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/optimizer.pt from kejian/debug-push: direct link, hf CLI and curl.
- Browser
- Download file 888 MB
-
https://huggingface.co/kejian/debug-push/resolve/refs%2Fpr%2F1/checkpoint-15/optimizer.pt
- Command line
-
hf download hf://kejian/debug-push@refs/pr/1/checkpoint-15/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/kejian/debug-push/resolve/refs%2Fpr%2F1/checkpoint-15/optimizer.pt
888 MB
- Xet hash:
- 7efad0faa8ddd95133a1f057488ec6d2bc4ad00ff496fe20e867de7372c4f05d
- Size of remote file:
- 888 MB
- SHA256:
- 514edabb10345b2d1b1d051d6f7091da430f492a0a3d0950fa4bd354cc5f387e
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