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:
- bf9a2c4b71607e68f6dacdb1bae0526ea367c0d26e3adcff09c4c1c2c035efff
- Size of remote file:
- 11.4 MB
- SHA256:
- c7ec78c5875702749a11dee5ba04d114c85e67036bb7e692a1d7a35c78a98417
路
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