Instructions to use hf-internal-testing/tiny-random-DetrForObjectDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DetrForObjectDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hf-internal-testing/tiny-random-DetrForObjectDetection")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-DetrForObjectDetection") model = AutoModelForObjectDetection.from_pretrained("hf-internal-testing/tiny-random-DetrForObjectDetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-DetrForObjectDetection: direct link, hf CLI and curl.
- Browser
- Download file 103 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-DetrForObjectDetection/resolve/ab4f253f397ce555a9f82a15aabe2cbd0c2bd4ea/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-DetrForObjectDetection@ab4f253f397ce555a9f82a15aabe2cbd0c2bd4ea/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-DetrForObjectDetection/resolve/ab4f253f397ce555a9f82a15aabe2cbd0c2bd4ea/pytorch_model.bin
103 MB
- Xet hash:
- 398e8ab17ec704e7d2a5f339f0ae377807641b697a9a2327466d620bcdf6a62e
- Size of remote file:
- 103 MB
- SHA256:
- 7fae513cc56e511e26026bfa1b60b176be15ab69aa1477136d3570dcdd483620
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