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 /Nov26_03-10-59_susnato-desktop /events.out.tfevents.1700948461.susnato-desktop.27893.0
- Xet hash:
- 61c7d658238eeef4423e1e5b418af26f41db4a57181de27543ce9c29cadd9679
- Size of remote file:
- 40.6 kB
- SHA256:
- f1f88483c22083926ac547554f9581f67577f71af6806d35bf4be158a11e8172
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