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_19-57-52_susnato-desktop /events.out.tfevents.1700922474.susnato-desktop.7582.0
- Xet hash:
- 2bb36014ce7164f47a4d4f3f845cf06f09974b85c5ea0754f0b2e07d8ad0fa25
- Size of remote file:
- 6.86 kB
- SHA256:
- f6c71a44fa41e1dcb998d40c92dafb1b9dc451a753e8584d7fea40dde69ac8e9
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