Instructions to use whyoke/object_detection_test_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whyoke/object_detection_test_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="whyoke/object_detection_test_1")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("whyoke/object_detection_test_1") model = AutoModelForObjectDetection.from_pretrained("whyoke/object_detection_test_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96f06b06c9fb62e26ef836001cac54ebaf5448fe88a0908a87549bcbe557a4f6
- Size of remote file:
- 3.52 kB
- SHA256:
- c6375d7897426bb7992f8b503204305debdf2a531eb069fc2f828479bcdc28d8
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