Image Classification
Transformers
PyTorch
English
computer-vision
medical-imaging
multiclass-classification
diagnostic-imaging
anatomy-classification
xray
Instructions to use InfoBayAI/restnet50-Xray-Anatomy-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InfoBayAI/restnet50-Xray-Anatomy-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="InfoBayAI/restnet50-Xray-Anatomy-Classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InfoBayAI/restnet50-Xray-Anatomy-Classifier", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
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