Instructions to use hf-tiny-model-private/tiny-random-DetrForObjectDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-DetrForObjectDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hf-tiny-model-private/tiny-random-DetrForObjectDetection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-DetrForObjectDetection") model = AutoModelForObjectDetection.from_pretrained("hf-tiny-model-private/tiny-random-DetrForObjectDetection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36b4532d71c8b1ac8b3d46931251de09e14eb53fa0c7de4fa39abc05263e4dcc
- Size of remote file:
- 103 MB
- SHA256:
- c657ab979f1c19243bf4f792ac95b5638c687421202f3e6b2461044274e66682
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