Instructions to use google/owlv2-base-patch16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/owlv2-base-patch16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="google/owlv2-base-patch16")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("google/owlv2-base-patch16") model = AutoModelForZeroShotObjectDetection.from_pretrained("google/owlv2-base-patch16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 432552c312c2c51a5eb0d21b262e37696ae7a166c5927615a0d8345a723e852e
- Size of remote file:
- 620 MB
- SHA256:
- c4a566429e6b2c015abacb53087bf673260486c369a84e626e9b09fe57ca316d
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