Image Classification
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
vision-language-model
medical
diabetic-retinopathy
qwen2.5-vl
merged
text-generation-inference
Instructions to use ottokevin/JUSTCSL-OphthaVision-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ottokevin/JUSTCSL-OphthaVision-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ottokevin/JUSTCSL-OphthaVision-3B") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ottokevin/JUSTCSL-OphthaVision-3B") model = AutoModelForMultimodalLM.from_pretrained("ottokevin/JUSTCSL-OphthaVision-3B") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!