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

- Xet hash:
- 42d243e5c95334062f6e97b8cd8a5de556a254dbb6680640f7cdce7adefa8ede
- Size of remote file:
- 1.52 MB
- SHA256:
- fa43c92cd3191317818b1ebc2d06e8003ba187120db7dea2feb652fb63313d3a
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