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/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-10/optimizer.pt
- Command line
-
hf download hf://kejian/debug-push@refs/pr/1/checkpoint-10/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/kejian/debug-push/resolve/refs%2Fpr%2F1/checkpoint-10/optimizer.pt
888 MB
- Xet hash:
- 328b7186c2b9b6e50b36706b7128dbf84107704da3ada0a9715b16e6d4b83de7
- Size of remote file:
- 888 MB
- SHA256:
- 552d29802b532649151641199f171ae647a508e6161b56dede2cfd2ff2db65f3
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