Instructions to use mmanikanta/ResNet_AI_image_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmanikanta/ResNet_AI_image_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mmanikanta/ResNet_AI_image_detector") 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("mmanikanta/ResNet_AI_image_detector") model = AutoModelForImageClassification.from_pretrained("mmanikanta/ResNet_AI_image_detector") - Notebooks
- Google Colab
- Kaggle
Commit ·
e5cff26
1
Parent(s): 86c214a
Model save
Browse files
runs/Apr20_19-02-54_38adce425ec3/events.out.tfevents.1713639783.38adce425ec3.843.0
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