Instructions to use QomSSLab/JudgeAssistant-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QomSSLab/JudgeAssistant-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("QomSSLab/JudgeAssistant-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from QomSSLab/JudgeAssistant-v2: direct link, hf CLI and curl.
- Browser
- Download file 66.9 MB
-
https://huggingface.co/QomSSLab/JudgeAssistant-v2/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://QomSSLab/JudgeAssistant-v2/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/QomSSLab/JudgeAssistant-v2/resolve/main/adapter_model.safetensors
66.9 MB
- Xet hash:
- 703b1ec93519d550a3a1e183ea2282c9b37af9679f5ff9d3f0369df6b836385a
- Size of remote file:
- 66.9 MB
- SHA256:
- 3bf2ac7e73e9c15f68f45225a88644b937bdb30d480777a66a3fb1c316278e62
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