Instructions to use Roboflow/rf-detr-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roboflow/rf-detr-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Roboflow/rf-detr-medium")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Roboflow/rf-detr-medium") model = AutoModelForObjectDetection.from_pretrained("Roboflow/rf-detr-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Roboflow/rf-detr-medium: direct link, hf CLI and curl.
- Browser
- Download file 135 MB
-
https://huggingface.co/Roboflow/rf-detr-medium/resolve/main/model.safetensors
- Command line
-
hf download hf://Roboflow/rf-detr-medium/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Roboflow/rf-detr-medium/resolve/main/model.safetensors
135 MB
- Xet hash:
- 33eae1992f711fecd808b71e7ba08e12769c09e7f1a027717bb1a28f6d0f334a
- Size of remote file:
- 135 MB
- SHA256:
- e52098adc46969794fbdd16e0548a62b81ba0c0f4b14392676edba50be9a69f6
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