Instructions to use hsanchez/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsanchez/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hsanchez/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hsanchez/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("hsanchez/detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17b2101b6ed0411641c81dd0af5d665ea247d172d3e094218454acf849bf4346
- Size of remote file:
- 3.96 kB
- SHA256:
- e2bf51a56491fcbd77413dba512e7bc6457e5a65ff21be1305d21d7ab9a11a8e
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