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")# pip install -U transformers accelerate # 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
Download pytorch_model.bin from hf-internal-testing/tiny-random-DeformableDetrForObjectDetection: direct link, hf CLI and curl.
- Browser
- Download file 123 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-DeformableDetrForObjectDetection/resolve/8a3194c9e7cf7ae79b256ce80458a8a541d7a847/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-DeformableDetrForObjectDetection@8a3194c9e7cf7ae79b256ce80458a8a541d7a847/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-DeformableDetrForObjectDetection/resolve/8a3194c9e7cf7ae79b256ce80458a8a541d7a847/pytorch_model.bin
123 MB
- Xet hash:
- cc87ce9b12f20d2a49b144110ed01ce813eb5c14cd6d0a5391767bb2883843bc
- Size of remote file:
- 123 MB
- SHA256:
- a7c81f7bda9159c2e889f06f2ae7d796d8c7759d7fd025d9dceae9618f029e92
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