Instructions to use MusYW/MNLP_M3_mcqa_model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MusYW/MNLP_M3_mcqa_model_2 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_2") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 60e4a0677977ae0cb968ebbda52a82013766826ac64ecce412fa36891cd76fe2
- Size of remote file:
- 5.65 kB
- SHA256:
- 02a656b48fc31200ae8b646f6d8801b866ab88d09ad67689e0d85317eac4eac4
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