Object Detection
Transformers
Safetensors
bone_age_crop
feature-extraction
radiology
medical_imaging
bone_age
x_ray
crop
custom_code
Instructions to use ianpan/bone-age-crop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ianpan/bone-age-crop with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ianpan/bone-age-crop", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ianpan/bone-age-crop", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "BoneAgeCropModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration.BoneAgeCropConfig", | |
| "AutoModel": "modeling.BoneAgeCropModel" | |
| }, | |
| "backbone": "mobilenetv3_small_100", | |
| "dropout": 0.1, | |
| "feature_dim": 1024, | |
| "in_chans": 1, | |
| "model_type": "bone_age_crop", | |
| "num_classes": 4, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.47.0" | |
| } | |