Instructions to use haywoodsloan/ai-image-detector-dev-deploy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haywoodsloan/ai-image-detector-dev-deploy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="haywoodsloan/ai-image-detector-dev-deploy") 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("haywoodsloan/ai-image-detector-dev-deploy") model = AutoModelForImageClassification.from_pretrained("haywoodsloan/ai-image-detector-dev-deploy", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download training_args.bin from haywoodsloan/ai-image-detector-dev-deploy: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/haywoodsloan/ai-image-detector-dev-deploy/resolve/0e1cf08834ead9ad01b0efeb31a580600b3bdafc/training_args.bin
- Command line
-
hf download hf://haywoodsloan/ai-image-detector-dev-deploy@0e1cf08834ead9ad01b0efeb31a580600b3bdafc/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/haywoodsloan/ai-image-detector-dev-deploy/resolve/0e1cf08834ead9ad01b0efeb31a580600b3bdafc/training_args.bin
5.37 kB
- Xet hash:
- 9ec1557d629d123d4af2f0a236a74db4cb4a3f8f4344868f1396b5942935a1ae
- Size of remote file:
- 5.37 kB
- SHA256:
- 76126427121423c5e1feb03aaa2837a856f56f7281a2de99cc07a881e6c370d9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.