Instructions to use google/owlvit-base-patch32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("google/owlvit-base-patch32") model = AutoModelForZeroShotObjectDetection.from_pretrained("google/owlvit-base-patch32") - Notebooks
- Google Colab
- Kaggle
Alara Dirik commited on
Commit ·
da23aa5
1
Parent(s): 7e8a9f4
Fix feature extractor resizing bug
Browse files- preprocessor_config.json +1 -1
preprocessor_config.json
CHANGED
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@@ -18,5 +18,5 @@
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"processor_class": "OwlViTProcessor",
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"resample": 3,
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"rescale": true,
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"size": 768
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}
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"processor_class": "OwlViTProcessor",
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"resample": 3,
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"rescale": true,
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"size": (768, 768)
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}
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