Instructions to use AashishKumar/AIvisionGuard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AashishKumar/AIvisionGuard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="AashishKumar/AIvisionGuard") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("AashishKumar/AIvisionGuard") model = AutoModelForImageClassification.from_pretrained("AashishKumar/AIvisionGuard", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4aa26cb28dc2dc459dbd8ad0a153094b94b7738002055cbc9d1b6889114edc98
- Size of remote file:
- 4.86 kB
- SHA256:
- 6b4beaaff477a09a2b34ea2cf81f60b49f7ba68f4c899bcfc797870f84493e97
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