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
Adding `safetensors` variant of this model (#3)
Browse files- Adding `safetensors` variant of this model (fb57ef2770a5a2c17cff35ac27284f7002c7b505)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c4a566429e6b2c015abacb53087bf673260486c369a84e626e9b09fe57ca316d
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size 619918824
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