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 decision_config.json from MaestroYan/JEMM: direct link, hf CLI and curl.
- Browser
- Download file 117 Bytes
-
https://huggingface.co/MaestroYan/JEMM/resolve/main/decision_config.json
- Command line
-
hf download hf://MaestroYan/JEMM/decision_config.json
-
curl -L -o decision_config.json https://huggingface.co/MaestroYan/JEMM/resolve/main/decision_config.json
117 Bytes
| { | |
| "temperature": 1.3480874159655591, | |
| "threshold": 0.9872681877423998, | |
| "mm_temperature": 1.3954832341582943 | |
| } | |