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

- Xet hash:
- 975d5e04ffbcfe91587a635f2f33c1585986c7949d757a4a5e68d8f14715c6fa
- Size of remote file:
- 108 kB
- SHA256:
- 632bf795814638de7a8aa0064880ec9608c2619ee15f2e7418e9066846b16ffd
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