Instructions to use google/owlv2-base-patch16-ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/owlv2-base-patch16-ensemble 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-ensemble")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("google/owlv2-base-patch16-ensemble") model = AutoModelForZeroShotObjectDetection.from_pretrained("google/owlv2-base-patch16-ensemble") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce4612e2ef5f080ae2f048a90719946e29edcc5afaa7ca787522c1511798fdf4
- Size of remote file:
- 620 MB
- SHA256:
- e1e130b9e404cf91a75ad45644c1da9d7fa5284085eecc864266a6923efb99e7
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