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 model.safetensors 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/refs%2Fpr%2F3/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-DetrForObjectDetection@refs/pr/3/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-DetrForObjectDetection/resolve/refs%2Fpr%2F3/model.safetensors
103 MB
- Xet hash:
- 1612c306448149ec70cf7d7506c3a7ab5539ce9c8b9054a53556eef094d0bbad
- Size of remote file:
- 103 MB
- SHA256:
- 650c1e9b113f3a7bbb1be094c4d2ba2362d2f4165179525b604881094b34ca8b
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