Instructions to use Roboflow/rf-detr-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roboflow/rf-detr-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Roboflow/rf-detr-large")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Roboflow/rf-detr-large") model = AutoModelForObjectDetection.from_pretrained("Roboflow/rf-detr-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13e330ff16d9552e548012b06cd876c33332ad685fed856d38983ce383bf8db5
- Size of remote file:
- 136 MB
- SHA256:
- 1ec604598aea748627eb5755a9989f3c80839fc7fb977a91bfba107ee76fcd7d
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