Instructions to use devonho/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devonho/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="devonho/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("devonho/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("devonho/detr-resnet-50_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7078c518df125e3bd1a90e75df8c00517a62c30750efc6bc3317197f0945862
- Size of remote file:
- 3.45 kB
- SHA256:
- f15dd77843d95f89942bc32ba4c06b02572219169b55be164227127362c4b609
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