Instructions to use dokutoshi/owlvit-base-patch32_FT_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dokutoshi/owlvit-base-patch32_FT_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="dokutoshi/owlvit-base-patch32_FT_cppe5")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("dokutoshi/owlvit-base-patch32_FT_cppe5") model = AutoModelForZeroShotObjectDetection.from_pretrained("dokutoshi/owlvit-base-patch32_FT_cppe5") - Notebooks
- Google Colab
- Kaggle
File size: 520 Bytes
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"height": 768,
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"do_center_crop": false,
"do_convert_rgb": true,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
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],
"image_processor_type": "OwlViTImageProcessor",
"image_std": [
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],
"processor_class": "OwlViTProcessor",
"resample": 3,
"rescale_factor": 0.00392156862745098,
"size": {
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}
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