Instructions to use initial01/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use initial01/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="initial01/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("initial01/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("initial01/detr-resnet-50_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1c57fb46502ebfa0873fca9cad281be8ed7b9926929f5c22530649cafd5dd04
- Size of remote file:
- 5.3 kB
- SHA256:
- 57ef5af8850e13a7b70741a3501bd6cf6b297aa8228ef00ca6dc1ee53ac00879
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