Visual Question Answering
PEFT
English
Korean
Chinese
vision
multimodal
qwen
lora
tcm
traditional-chinese-medicine
tongue-diagnosis
Instructions to use Mark-CHAE/ViTCM-LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Mark-CHAE/ViTCM-LLM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-32B-Instruct") model = PeftModel.from_pretrained(base_model, "Mark-CHAE/ViTCM-LLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06c608338ddae92da60d626bb58c57dc128c0f4c0d8c3af4fbbe1c3bf59d9f0e
- Size of remote file:
- 11.4 MB
- SHA256:
- 826c64105c507ac95e21ca8febaa9296b699bbd97820f7589c6148d912639205
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