Instructions to use danhtran2mind/Qwen-3-0.6B-Reasoning-Vi-Medical-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use danhtran2mind/Qwen-3-0.6B-Reasoning-Vi-Medical-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-0.6b-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "danhtran2mind/Qwen-3-0.6B-Reasoning-Vi-Medical-LoRA") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-13200/trainer_state.json from danhtran2mind/Qwen-3-0.6B-Reasoning-Vi-Medical-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 52.2 kB
-
https://huggingface.co/danhtran2mind/Qwen-3-0.6B-Reasoning-Vi-Medical-LoRA/resolve/main/checkpoint-13200/trainer_state.json
- Command line
-
hf download hf://danhtran2mind/Qwen-3-0.6B-Reasoning-Vi-Medical-LoRA/checkpoint-13200/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/danhtran2mind/Qwen-3-0.6B-Reasoning-Vi-Medical-LoRA/resolve/main/checkpoint-13200/trainer_state.json
52.2 kB
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