Instructions to use ideepankarsharma2003/AI_ImageClassification_SDXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ideepankarsharma2003/AI_ImageClassification_SDXL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ideepankarsharma2003/AI_ImageClassification_SDXL") 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("ideepankarsharma2003/AI_ImageClassification_SDXL") model = AutoModelForImageClassification.from_pretrained("ideepankarsharma2003/AI_ImageClassification_SDXL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24335607c46ff7d44dc362d25723588a4e5c974a8ad3cd5ea50a93bdb395d93d
- Size of remote file:
- 694 MB
- SHA256:
- c625d7fe1497c82195bfc2f77b9ea75760b03c1d9d3d8c898c21ab06879941f5
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