Instructions to use eyad-ai/SmartChestXRay with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eyad-ai/SmartChestXRay with PEFT:
Task type is invalid.
- Transformers
How to use eyad-ai/SmartChestXRay with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eyad-ai/SmartChestXRay", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download meta.json from eyad-ai/SmartChestXRay: direct link, hf CLI and curl.
- Browser
- Download file 371 Bytes
-
https://huggingface.co/eyad-ai/SmartChestXRay/resolve/main/meta.json
- Command line
-
hf download hf://eyad-ai/SmartChestXRay/meta.json
-
curl -L -o meta.json https://huggingface.co/eyad-ai/SmartChestXRay/resolve/main/meta.json
371 Bytes
| { | |
| "classes": [ | |
| "COVID", | |
| "Lung_Opacity", | |
| "Normal", | |
| "Viral Pneumonia" | |
| ], | |
| "id2label": { | |
| "0": "COVID", | |
| "1": "Lung_Opacity", | |
| "2": "Normal", | |
| "3": "Viral Pneumonia" | |
| }, | |
| "label2id": { | |
| "0": "COVID", | |
| "1": "Lung_Opacity", | |
| "2": "Normal", | |
| "3": "Viral Pneumonia" | |
| } | |
| } |