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:
- 5221d01f29eb0db03a52d2dfb9d274cec7729d20f781d7a40c0d3cfe09e7d7da
- Size of remote file:
- 687 MB
- SHA256:
- 596e83388c7003d528a9bb0536d31f7cd9e15b6a10522598513ab8b4941f323f
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