Instructions to use shawnmichael/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shawnmichael/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="shawnmichael/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("shawnmichael/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("shawnmichael/detr-resnet-50_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8bccbbc030f76c32ed3f686cbae561a46b2614def26ec251aa7432478cc98ddd
- Size of remote file:
- 5.37 kB
- SHA256:
- 157a18abb86a5812ff7d041243b365fb4db61ff7033cdb2a748d927fc0a8dd3c
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