Instructions to use CMLL/ZhongJing-2-0_5b1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CMLL/ZhongJing-2-0_5b1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-0.5B-Chat") model = PeftModel.from_pretrained(base_model, "CMLL/ZhongJing-2-0_5b1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 506cdef1528655f718ea221fbf52fb4ee1e13307a8904dd31444fdee1feb0bec
- Size of remote file:
- 6.37 MB
- SHA256:
- 9bbc4649666c28869b16a6e007710120d8ef4d67e0c73f3f6c75fb6fd68f7d0c
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