Instructions to use AGENTDARS/Reviewer-32B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AGENTDARS/Reviewer-32B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/dars/.cache/huggingface/hub/models--deepseek-ai--DeepSeek-R1-Distill-Qwen-32B/snapshots/10d6a0388c80991c8fd8b54223146e7cbe33dfa5/") model = PeftModel.from_pretrained(base_model, "AGENTDARS/Reviewer-32B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d223a0c7dee0804e1f7d6420ecd49503bf9aac86a25a17cd071e6bb76183cb37
- Size of remote file:
- 7.22 kB
- SHA256:
- fe54fd337477156faceaaf7352ed96282c9c4c99bb54814989bef5150c592a4e
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