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
Upload preprocessor_config.json
#1
by AliMansourX - opened
A purposed fix for this error on Kaggle
OSError: shreydan/CheXpert-5-convnextv2-tiny-384 does not appear to have a file named preprocessor_config.json. Checkout 'https://huggingface.co/shreydan/CheXpert-5-convnextv2-tiny-384/tree/main'for available files.
thank you so much!
shreydan changed pull request status to merged