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:
- c9588cdedf70200c1b20d020e4a8ca251e5e190d6b67023f2a9099bfaa000755
- Size of remote file:
- 174 MB
- SHA256:
- 6947f87103235fc7b7bfc44fc33e906de4bb8408452e895910da2795c56f27f9
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