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
- Xet hash:
- 97966e1ed3770712c0a57c01ebd81962e9a6aeb1ea5485defd1282885eab7a60
- Size of remote file:
- 1.74 GB
- SHA256:
- 9be842266b5eae392bd07454c249c0213bfd3fc2fe8b8748cc5a5bea9a273c07
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