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-40/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-40/scheduler.pt
- Command line
-
hf download hf://kejian/debug-push/checkpoint-40/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/kejian/debug-push/resolve/main/checkpoint-40/scheduler.pt
623 Bytes
- Xet hash:
- c7096d73b511969820d3fdadf3b2943f6d6a8184e79cf17e5291e0e152071bbd
- Size of remote file:
- 623 Bytes
- SHA256:
- 062151bbcefd351734ad20a48aaa00700c74fb129103564116e9890c8a19da8d
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