Image Classification
Transformers
Safetensors
PyTorch
convnextv2
chest-xray
convnext
medical
medical-imaging
pneumonia
Eval Results (legacy)
Instructions to use kiselyovd/chest-xray-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiselyovd/chest-xray-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="kiselyovd/chest-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("kiselyovd/chest-xray-classifier") model = AutoModelForImageClassification.from_pretrained("kiselyovd/chest-xray-classifier") - Notebooks
- Google Colab
- Kaggle
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Browse files
README.md
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- src: https://huggingface.co/kiselyovd/chest-xray-classifier/resolve/main/samples/bacterial_pneumonia.png
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- src: https://huggingface.co/kiselyovd/chest-xray-classifier/resolve/main/samples/bacterial_pneumonia.png
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example_title: bacterial_pneumonia
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- src: https://huggingface.co/kiselyovd/chest-xray-classifier/resolve/main/samples/normal.png
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example_title: normal
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example_title: viral_pneumonia
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model-index:
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