Instructions to use MedicalVision/detr_balloon_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MedicalVision/detr_balloon_example with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="MedicalVision/detr_balloon_example")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("MedicalVision/detr_balloon_example") model = AutoModelForObjectDetection.from_pretrained("MedicalVision/detr_balloon_example", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 46bc0bb19b95af24943e3feacb4d48462d9f338d378aaa810012745d6adc6489
- Size of remote file:
- 1.39 MB
- SHA256:
- 88bf7f4f05665439818521a45ca81f5b3da012845d097f31bde43c46227602b2
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