Instructions to use qubvel-hf/rtdetr-r50-cppe5-finetune-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qubvel-hf/rtdetr-r50-cppe5-finetune-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="qubvel-hf/rtdetr-r50-cppe5-finetune-v3")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("qubvel-hf/rtdetr-r50-cppe5-finetune-v3") model = AutoModelForObjectDetection.from_pretrained("qubvel-hf/rtdetr-r50-cppe5-finetune-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 853096b472a6c5061e245da8357c9fd1db25ffefd36847ee22aa5908a0ae627c
- Size of remote file:
- 5.11 kB
- SHA256:
- 0fb98b021a5254f8cc29718630809f9cf6b2440efe99f8b4dfcc0120502acd06
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