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) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 50e529eda6ef49f857d0b600840d283f6ddd61909047df0f6fad675bcb9bcbe4
- Size of remote file:
- 6.98 MB
- SHA256:
- 0af78635141a3aaefd61460e00d1651146d6d2516e8114e3a7ca926ab6692842
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