Instructions to use shreydan/CheXpert-5-convnextv2-tiny-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shreydan/CheXpert-5-convnextv2-tiny-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="shreydan/CheXpert-5-convnextv2-tiny-384") 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("shreydan/CheXpert-5-convnextv2-tiny-384") model = AutoModelForImageClassification.from_pretrained("shreydan/CheXpert-5-convnextv2-tiny-384") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36fe13f59f7c71f4dc182b00cb6e5142bba759d32dd18d8df022c0443773a596
- Size of remote file:
- 5.11 kB
- SHA256:
- 572841ce641940c00fbe8948e21702e5df638214e72406b3cf850934852cd8c4
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