How to use Qdrant/resnet50-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Qdrant/resnet50-onnx") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Qdrant/resnet50-onnx", device_map="auto")
https://huggingface.co/Qdrant/resnet50-onnx/resolve/main/config.json
hf download hf://Qdrant/resnet50-onnx/config.json
curl -L -o config.json https://huggingface.co/Qdrant/resnet50-onnx/resolve/main/config.json
