Instructions to use hf-internal-testing/tiny-random-DeformableDetrForObjectDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DeformableDetrForObjectDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hf-internal-testing/tiny-random-DeformableDetrForObjectDetection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-DeformableDetrForObjectDetection") model = AutoModelForObjectDetection.from_pretrained("hf-internal-testing/tiny-random-DeformableDetrForObjectDetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc87ce9b12f20d2a49b144110ed01ce813eb5c14cd6d0a5391767bb2883843bc
- Size of remote file:
- 123 MB
- SHA256:
- a7c81f7bda9159c2e889f06f2ae7d796d8c7759d7fd025d9dceae9618f029e92
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