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:
- 2aa47acc6c6f76350399a7c952c95d46786fc72b07ff8a0cc2fb4d6633235c8d
- Size of remote file:
- 5.18 kB
- SHA256:
- f0dd550d512ad8d899ef002c48d14a56a1062c99a3d88fb14a426d30f565c622
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