Instructions to use lablab-ai-amd-developer-hackathon/medqa-qwen3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lablab-ai-amd-developer-hackathon/medqa-qwen3-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-1.7B") model = PeftModel.from_pretrained(base_model, "lablab-ai-amd-developer-hackathon/medqa-qwen3-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 427c45410b5c08411eda67467905421f524f9d3c2f27b2140b8cec127e006a8c
- Size of remote file:
- 6.44 MB
- SHA256:
- d25016440d281424adb4b1a14a61ffca02acd1907ed91c013737f87a9ef0508c
路
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