Instructions to use ztroll/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ztroll/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ztroll/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ztroll/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("ztroll/detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd856ea095b8574f5fa2c2cf94efac5b66adfb120e8e7732dd4dbd6a882f7d60
- Size of remote file:
- 167 MB
- SHA256:
- 047749185f49dfe4d861ca3b2b7a9bbc3c021a27425008b809ca19e93bd23cf1
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