Instructions to use tta1301/xray-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tta1301/xray-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="tta1301/xray-classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("tta1301/xray-classifier") model = AutoModelForImageClassification.from_pretrained("tta1301/xray-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a811ea76f93c5d096a87c99fe9cec95b7d49adec0078a4b2876fde73e13c3bcd
- Size of remote file:
- 5.2 kB
- SHA256:
- 31a3ce2f35a853d005a30bc410de965307151c16e595030918a1f55041d159c8
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