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_11-58-07_susnato-desktop /events.out.tfevents.1700893688.susnato-desktop.13052.0
- Xet hash:
- e840ed7530ab5a17159699c174ce7aebda18b818c583f4b39c2b92dd1ca6bfca
- Size of remote file:
- 7.88 kB
- SHA256:
- 958e6959cf51e5b6dabd5207e17b19e321a0a1fd3a89607d7076828686e5c71e
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