Instructions to use paascorb/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paascorb/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="paascorb/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("paascorb/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("paascorb/detr-resnet-50_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f65221c8033cd07cc80c482423ad51b9aaf73b4e31b3f1bd051b41cf5aa5bad
- Size of remote file:
- 167 MB
- SHA256:
- 9621b184b1b60120428c50d862f876865993130e67387da02c4e2a6b3fa027ae
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