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:
- 1c7a1af1fb90f9a759edcf43b2b71a555c775f776b1755c67a1d1d2050516239
- Size of remote file:
- 5.2 kB
- SHA256:
- fe9e466d18e2bd615281c80583abd8151d5c8bc84623dad56b5e15f0d4c899ee
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