Instructions to use bpdevai/test_detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bpdevai/test_detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="bpdevai/test_detr_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("bpdevai/test_detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("bpdevai/test_detr_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cfe46476bffb3f9f4b3bc33399987cc82a8a637d1b83091e8cfb69455c7b8d1
- Size of remote file:
- 346 MB
- SHA256:
- 34c96518b61b3ccc94b4e381a7083b1354b1034ad6fd4c2321aa4bcdf70688ed
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