Instructions to use hf-internal-testing/tiny-random-OwlViTForObjectDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-OwlViTForObjectDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="hf-internal-testing/tiny-random-OwlViTForObjectDetection")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-OwlViTForObjectDetection") model = AutoModelForZeroShotObjectDetection.from_pretrained("hf-internal-testing/tiny-random-OwlViTForObjectDetection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffe42f0c8e4a0ecafd7614c8cf285740f525f384a5ad61301ff0d244438c38ea
- Size of remote file:
- 2.09 MB
- SHA256:
- 236b21ebeb6ab6125ad1722d6ce45540d672f9669be0186e4534db1ce26123fd
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