Instructions to use m28yhtd/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m28yhtd/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="m28yhtd/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("m28yhtd/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("m28yhtd/detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb89c78742d4db898069c6cac16ac7d4984105e52f547a19fbddb7572785ae9a
- Size of remote file:
- 4.09 kB
- SHA256:
- 42f2da53def8b9e2128999233df9a7216d39740b0954eef1c8f0bc8c9af3d22f
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