Instructions to use junaidumar/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junaidumar/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="junaidumar/detr_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("junaidumar/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("junaidumar/detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8120712f0b3805d5b46152485968d81a3eb41255b06615f51173fb071d86b5af
- Size of remote file:
- 5.84 kB
- SHA256:
- 4ec976dafc5fab3371a1c7eb554ce6a858e84b4168dc9a3d6c4907eec321de3b
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