Instructions to use QomSSLab/JudgeAssistant-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QomSSLab/JudgeAssistant-v3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("QomSSLab/JudgeAssistant-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from QomSSLab/JudgeAssistant-v3: direct link, hf CLI and curl.
- Browser
- Download file 66.9 MB
-
https://huggingface.co/QomSSLab/JudgeAssistant-v3/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://QomSSLab/JudgeAssistant-v3/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/QomSSLab/JudgeAssistant-v3/resolve/main/adapter_model.safetensors
66.9 MB
- Xet hash:
- ded04a525c22d64adbbae9b7904af63f712ea9d442cc84ae5ce2b2e2ec15d5ed
- Size of remote file:
- 66.9 MB
- SHA256:
- 5ed08d72426a62796c040979d7ee0823d035ce3f2fc3d938c5007d824bc0fb2a
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