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-5/scheduler.pt from kejian/debug-push: direct link, hf CLI and curl.
- Browser
- Download file 623 Bytes
-
https://huggingface.co/kejian/debug-push/resolve/main/checkpoint-5/scheduler.pt
- Command line
-
hf download hf://kejian/debug-push/checkpoint-5/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/kejian/debug-push/resolve/main/checkpoint-5/scheduler.pt
623 Bytes
- Xet hash:
- d13581155c7dffe9b3ab8ab4315ecaa7d94ffbb6c4aad1b0c6d3ddd65a3b09cb
- Size of remote file:
- 623 Bytes
- SHA256:
- a7c82ab0ab95f5e11168d9c0b13c9304074d960263b1ea5ef74b4922616247fd
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