Image Classification
Transformers
Safetensors
PyTorch
English
Chinese
beit
ai-detection
ai-image-detection
deepfake-detection
fake-image-detection
ai-art-detection
stable-diffusion-detection
midjourney-detection
dall-e-detection
flux-detection
image-forensics
digital-art-verification
vit
computer-vision
dual-head
Eval Results (legacy)
Instructions to use boluobobo/ItsNotAI-ai-detector-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boluobobo/ItsNotAI-ai-detector-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="boluobobo/ItsNotAI-ai-detector-v2") 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("boluobobo/ItsNotAI-ai-detector-v2") model = AutoModelForImageClassification.from_pretrained("boluobobo/ItsNotAI-ai-detector-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f75c73ea40a674ac49974e4672bcca6f0935ae68accd9794554a357ca53725ea
- Size of remote file:
- 10.2 kB
- SHA256:
- d8793a31c2e9852c523928f0ffb9f13e16750ddddcc1aa128fc24a98781e0da7
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