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_19-45-20_susnato-desktop /events.out.tfevents.1700921722.susnato-desktop.6285.0
- Xet hash:
- 8bd684c01dc2e9abd5cae7879ae004e17f783b576c30ee61a4a323a0d98e4cd7
- Size of remote file:
- 6.85 kB
- SHA256:
- e12ae85b278bdc7b9e07065fd2dd3daea1edb1e268118c22c986cd7b2111811f
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