Visual Question Answering
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
vision-language
multimodal
medical
healthcare
radiology
pathology
moft
multi-objective-finetuning
lmc
lingshu
text-generation-inference
Instructions to use ASD9987/MOFT-Lingshu-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ASD9987/MOFT-Lingshu-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="ASD9987/MOFT-Lingshu-7B")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ASD9987/MOFT-Lingshu-7B") model = AutoModelForMultimodalLM.from_pretrained("ASD9987/MOFT-Lingshu-7B") - Notebooks
- Google Colab
- Kaggle