Instructions to use ashaduzzaman/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashaduzzaman/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ashaduzzaman/detr_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ashaduzzaman/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("ashaduzzaman/detr_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67332ea69aa88ac3559d191556e01d17a5c69aa7db1b536697d86042ba2cfe1d
- Size of remote file:
- 5.18 kB
- SHA256:
- 4f69a89cb46b41a46666d025d96ac9532537a022031879e0e5c260336d8f37a2
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