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_19-03-54_susnato-desktop /events.out.tfevents.1700919237.susnato-desktop.5323.0
- Xet hash:
- 860eceb2e3e57bce4a77e8f53f9b782b40b2843ecd4f46850a26ffb9ec0d17ae
- Size of remote file:
- 7.21 kB
- SHA256:
- f961ee759b19f24ba9aafc7067fd4dd423fd9755d9de468c6928610c65fe216f
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