Any-to-Any
Transformers
English
Chinese
qwen2
text-generation
medical
vision-language
multimodal
unified-model
medical-vqa
text-to-image
image-to-text
medical-understanding
report-generation
interleaved-multimodal
modality-transfer
custom_code
Instructions to use General-Medical-AI/UniMedVL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use General-Medical-AI/UniMedVL with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("General-Medical-AI/UniMedVL", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("General-Medical-AI/UniMedVL", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- **Repository:** https://github.com/uni-medical/UniMedVL
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- **Project Page:** https://uni-medical.github.io/UniMedVL_Web/
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- **Paper:**
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## Uses
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- **Repository:** https://github.com/uni-medical/UniMedVL
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- **Project Page:** https://uni-medical.github.io/UniMedVL_Web/
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- **Paper:** https://arxiv.org/abs/2510.15710
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## Uses
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