Instructions to use MaestroYan/JEMM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MaestroYan/JEMM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.8-27B") model = PeftModel.from_pretrained(base_model, "MaestroYan/JEMM") - Notebooks
- Google Colab
- Kaggle
Download assets/accuracy.png from MaestroYan/JEMM: direct link, hf CLI and curl.
- Browser
- Download file 332 kB
-
https://huggingface.co/MaestroYan/JEMM/resolve/main/assets/accuracy.png
- Command line
-
hf download hf://MaestroYan/JEMM/assets/accuracy.png
-
curl -L -o accuracy.png https://huggingface.co/MaestroYan/JEMM/resolve/main/assets/accuracy.png
332 kB

- Xet hash:
- a7949d3b3f18871d18cb4c91490115132703f1fc3384bf5be4e9c99116bdada5
- Size of remote file:
- 332 kB
- SHA256:
- b8b6e778dec8769c2e1c060fb4c5dd75f4ddbcf6cf79d33ef94a1af6c89f7430
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