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
image-forensics
digital-art-verification
vit
computer-vision
Eval Results (legacy)
Instructions to use boluobobo/ItsNotAI-ai-detector-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boluobobo/ItsNotAI-ai-detector-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="boluobobo/ItsNotAI-ai-detector-v1") 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-v1") model = AutoModelForImageClassification.from_pretrained("boluobobo/ItsNotAI-ai-detector-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ed28c2f9be4bd44fefe823103c99c6b8f00d828632333741a990bd654f165b0
- Size of remote file:
- 10.2 kB
- SHA256:
- b796598326f992086278cf910ecd4d9f67480f028a4eb1edadb8596067a2bb63
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.