Instructions to use google/owlv2-base-patch16-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/owlv2-base-patch16-finetuned 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-finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("google/owlv2-base-patch16-finetuned") model = AutoModelForZeroShotObjectDetection.from_pretrained("google/owlv2-base-patch16-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5254701b8a492f79db2a4c0efe7907c606d7eac9ac2519ce45e9917fae21637b
- Size of remote file:
- 620 MB
- SHA256:
- 3372c9f6510d5b73f50b5a1990ae8ce8c3d9d48d8247b340cac9a957213981c6
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