Image Classification
Transformers
Safetensors
swinv2
deepfake-detection
ai-image-detection
dfd-arena
bitmind
Instructions to use pixelprism-ai/dfd-arena-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pixelprism-ai/dfd-arena-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="pixelprism-ai/dfd-arena-mini") 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("pixelprism-ai/dfd-arena-mini") model = AutoModelForImageClassification.from_pretrained("pixelprism-ai/dfd-arena-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model.safetensors with huggingface_hub
Browse files- model.safetensors +3 -0
model.safetensors
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