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
| timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region | |
| 2023-11-25T13:10:20,15286356-d520-4579-a793-bd0511789e17,codecarbon,4330.581223249435,0.03415700643980357,0.04096553329045204,India,IND,west bengal,N,, | |
| 2023-11-25T21:53:48,f8d6bea5-7719-4b1d-b2bd-dd431b04423f,codecarbon,6418.435387134552,0.0528395724233496,0.06337210103516401,India,IND,west bengal,N,, | |
| 2023-11-26T16:56:55,021b71ff-d1ff-49c7-a77d-b1c476bdc27e,codecarbon,49553.35342812538,0.4029049587449136,0.48321613105764555,India,IND,west bengal,N,, | |