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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-DetrForObjectDetection: direct link, hf CLI and curl.
- Browser
- Download file 103 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-DetrForObjectDetection/resolve/a24a22e0558b7fedfbabe289cdbc7ea5fe419075/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-DetrForObjectDetection@a24a22e0558b7fedfbabe289cdbc7ea5fe419075/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-DetrForObjectDetection/resolve/a24a22e0558b7fedfbabe289cdbc7ea5fe419075/pytorch_model.bin
103 MB
- Xet hash:
- 36b4532d71c8b1ac8b3d46931251de09e14eb53fa0c7de4fa39abc05263e4dcc
- Size of remote file:
- 103 MB
- SHA256:
- c657ab979f1c19243bf4f792ac95b5638c687421202f3e6b2461044274e66682
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