Instructions to use hf-internal-testing/tiny-random-owlvit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-owlvit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-owlvit")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-owlvit") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-owlvit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f161ae09d110721b689a29f26b188c82fad32b3d394cbfa705d28b52ab4a2c6
- Size of remote file:
- 4.27 MB
- SHA256:
- 0faa6f59e1abb7fbc59e92e8963e6a912a34c73675fcc2d3250ca37ea764edcc
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