Instructions to use prithivMLmods/ImageShield-SUPER-90M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/ImageShield-SUPER-90M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/ImageShield-SUPER-90M") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/ImageShield-SUPER-90M") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/ImageShield-SUPER-90M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/classification_report_bar.png from prithivMLmods/ImageShield-SUPER-90M: direct link, hf CLI and curl.
- Browser
- Download file 39.2 kB
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https://huggingface.co/prithivMLmods/ImageShield-SUPER-90M/resolve/main/assets/classification_report_bar.png
- Command line
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hf download hf://prithivMLmods/ImageShield-SUPER-90M/assets/classification_report_bar.png
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curl -L -o classification_report_bar.png https://huggingface.co/prithivMLmods/ImageShield-SUPER-90M/resolve/main/assets/classification_report_bar.png
39.2 kB
