Instructions to use paascorb/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paascorb/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="paascorb/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("paascorb/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("paascorb/detr-resnet-50_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28017a13e709b6a9f2f0a1aedf68f6d7420bb311a1bb339126f3f6881f41d3f0
- Size of remote file:
- 3.58 kB
- SHA256:
- 92036f0b08c0a5d1547ca62160f28ba26f4883464d3bb8275a89f6d4f3ec2a48
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