Instructions to use IT20429546/detr-resnet-50_finetuned-weed-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IT20429546/detr-resnet-50_finetuned-weed-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="IT20429546/detr-resnet-50_finetuned-weed-detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("IT20429546/detr-resnet-50_finetuned-weed-detection") model = AutoModelForObjectDetection.from_pretrained("IT20429546/detr-resnet-50_finetuned-weed-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd1867e10485e436e54e48c0b8e39f416802c9bd8612dd12d85887c530f6ab0a
- Size of remote file:
- 4.09 kB
- SHA256:
- bd30e1dc0ba9ef59031f534dfb76f4318da020f57adc0219a75b25a00acb944a
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