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:
- 86b9cf7b59ebcb68998621c44d0ea9741de7176f1c9d30411b671296cb52d8a0
- Size of remote file:
- 687 MB
- SHA256:
- ac81a435b16596ccca147f836058a98f63cb5fbdcf6ae54287d348b317d99e67
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