Instructions to use susnato/detr-resnet-50_finetuned_plant_disease_detection_processed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use susnato/detr-resnet-50_finetuned_plant_disease_detection_processed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="susnato/detr-resnet-50_finetuned_plant_disease_detection_processed")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("susnato/detr-resnet-50_finetuned_plant_disease_detection_processed") model = AutoModelForObjectDetection.from_pretrained("susnato/detr-resnet-50_finetuned_plant_disease_detection_processed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
detr-resnet-50_finetuned_plant_disease_detection_processed / runs /Nov25_20-06-48_susnato-desktop /events.out.tfevents.1700923010.susnato-desktop.8082.0
- Xet hash:
- 2661cf7b8dadbbc993fffc05c361e1f568e908134ffe4a2d79700756054b202a
- Size of remote file:
- 11.1 kB
- SHA256:
- c23d526e357cf4d82948bb728fe0b6c814d4329228cc3e4db8aeafcaa92b8653
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