Image Classification
Transformers
Safetensors
English
siglip
Bone
Fracture
Detection
SigLIP2
medical
biology
Instructions to use prithivMLmods/Bone-Fracture-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Bone-Fracture-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Bone-Fracture-Detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Bone-Fracture-Detection") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Bone-Fracture-Detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a054ac732f3d386507b69505b46ea7d3238854d9691d091dbeb27570ffacc3c1
- Size of remote file:
- 5.3 kB
- SHA256:
- 204006bafac16586eef5c520416ddc231ccdf5a76f9bffe88756655e3676d429
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