Instructions to use MusYW/MNLP_M3_mcqa_model_teacher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MusYW/MNLP_M3_mcqa_model_teacher with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-1.7B-Base") model = PeftModel.from_pretrained(base_model, "MusYW/MNLP_M3_mcqa_model_teacher") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 0c83586364e982bada63ce0f9a86e0d178cc74ce68955c743d6e458907ae0369
- Size of remote file:
- 5.71 kB
- SHA256:
- 51ede17b03af74b1c49f81d54439800963552ca12f745a579dbb23c04189ab68
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