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/training_args.bin from kejian/debug-push: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/kejian/debug-push/resolve/main/checkpoint-15/training_args.bin
- Command line
-
hf download hf://kejian/debug-push/checkpoint-15/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kejian/debug-push/resolve/main/checkpoint-15/training_args.bin
3.06 kB
- Xet hash:
- a262eff856bd494ce8f7c8f82524e7634f31a3b8e7004c62a22a4efce7f4a763
- Size of remote file:
- 3.06 kB
- SHA256:
- 5a34744d720995e937e6f88654fd722891f574db162e25b56a6b9fa429b1c293
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