How to use google/owlvit-base-patch32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="google/owlvit-base-patch32")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("google/owlvit-base-patch32") model = AutoModelForZeroShotObjectDetection.from_pretrained("google/owlvit-base-patch32", device_map="auto")
https://huggingface.co/google/owlvit-base-patch32/resolve/refs%2Fpr%2F11/onnx/tokenizer.json
hf download hf://google/owlvit-base-patch32@refs/pr/11/onnx/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/google/owlvit-base-patch32/resolve/refs%2Fpr%2F11/onnx/tokenizer.json
