Instructions to use dokutoshi/owlvit-base-patch32_FT_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dokutoshi/owlvit-base-patch32_FT_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="dokutoshi/owlvit-base-patch32_FT_cppe5")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("dokutoshi/owlvit-base-patch32_FT_cppe5") model = AutoModelForZeroShotObjectDetection.from_pretrained("dokutoshi/owlvit-base-patch32_FT_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87f4749d8cb0b6a5f487a5e3b9c635dd5e579d88df0e05b945b5dab6c9a6cefd
- Size of remote file:
- 613 MB
- SHA256:
- 40b0fbb7b18a468417dd1786d035d993a8414706bb4b16098cfc1edbdba6031e
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