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_11-55-29_susnato-desktop /events.out.tfevents.1700893530.susnato-desktop.12904.0
- Xet hash:
- 7dfce34f3773f1d7028e4b9ec9b364d086431338a4d62741aec1ff23146cb696
- Size of remote file:
- 6.43 kB
- SHA256:
- 664f38408785b1deaa5ec591de7e882a060061c0488ee3ff7cb3a65c36597e35
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