Instructions to use DROPTABLE/chxprt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DROPTABLE/chxprt with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DROPTABLE/chxprt", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| """ | |
| Constants used throughout the project. | |
| """ | |
| # CheXpert class labels | |
| CHEXPERT_CLASSES = [ | |
| "No Finding", | |
| "Enlarged Cardiomediastinum", | |
| "Cardiomegaly", | |
| "Lung Opacity", | |
| "Lung Lesion", | |
| "Edema", | |
| "Consolidation", | |
| "Pneumonia", | |
| "Atelectasis", | |
| "Pneumothorax", | |
| "Pleural Effusion", | |
| "Pleural Other", | |
| "Fracture", | |
| "Support Devices", | |
| ] | |