How to use onnx-community/CommunityForensics-DeepfakeDet-ViT-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-classification', 'onnx-community/CommunityForensics-DeepfakeDet-ViT-ONNX');
How to use onnx-community/CommunityForensics-DeepfakeDet-ViT-ONNX with timm:
import timm model = timm.create_model("hf_hub:onnx-community/CommunityForensics-DeepfakeDet-ViT-ONNX", pretrained=True)
How to use onnx-community/CommunityForensics-DeepfakeDet-ViT-ONNX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="onnx-community/CommunityForensics-DeepfakeDet-ViT-ONNX") 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("onnx-community/CommunityForensics-DeepfakeDet-ViT-ONNX") model = AutoModelForImageClassification.from_pretrained("onnx-community/CommunityForensics-DeepfakeDet-ViT-ONNX")
