Instructions to use google/owlvit-large-patch14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/owlvit-large-patch14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="google/owlvit-large-patch14")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("google/owlvit-large-patch14") model = AutoModelForZeroShotObjectDetection.from_pretrained("google/owlvit-large-patch14") - Notebooks
- Google Colab
- Kaggle
File size: 392 Bytes
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"crop_size": 840,
"do_center_crop": false,
"do_convert_rgb": true,
"do_normalize": true,
"do_resize": true,
"feature_extractor_type": "OwlViTFeatureExtractor",
"image_mean": [
0.48145466,
0.4578275,
0.40821073
],
"image_std": [
0.26862954,
0.26130258,
0.27577711
],
"processor_class": "OwlViTProcessor",
"resample": 3,
"size": [840, 840]
}
|