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/landscape.png from MaestroYan/JEMM: direct link, hf CLI and curl.
- Browser
- Download file 285 kB
-
https://huggingface.co/MaestroYan/JEMM/resolve/main/assets/landscape.png
- Command line
-
hf download hf://MaestroYan/JEMM/assets/landscape.png
-
curl -L -o landscape.png https://huggingface.co/MaestroYan/JEMM/resolve/main/assets/landscape.png
285 kB

- Xet hash:
- 8b7f5eb3b0d8087401c33a02aaf4ace95d5f360b17d314ac095be156e6b00381
- Size of remote file:
- 285 kB
- SHA256:
- 17f8c52467592da6dd35a1a338f219fe6b3be2e89ffcb412a8a7c2477c9825cd
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