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:
- fa2b83d37512e4878e4b9d845d9faac8014a01025c70bb8fc9d70a6998588109
- Size of remote file:
- 346 MB
- SHA256:
- 0c97daec09186046eaa21e91c47a1fc202031e175fca9e3879e991c622f46116
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