Instructions to use google/owlv2-large-patch14-ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/owlv2-large-patch14-ensemble with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="google/owlv2-large-patch14-ensemble")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("google/owlv2-large-patch14-ensemble") model = AutoModelForZeroShotObjectDetection.from_pretrained("google/owlv2-large-patch14-ensemble") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e86fc4c66e6a614fb7cbfe8275206f6fe8c6548abe77e5ac8f664c167776733c
- Size of remote file:
- 1.75 GB
- SHA256:
- d1c2261503c55aaf400667a843a54a5167e3c696334674c4093d6d10f7f40075
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