Instructions to use nextt/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nextt/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="nextt/detr_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("nextt/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("nextt/detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbf560e5919a6e14120d797ea7155670fea22f507cfcf24b7af6c150a653b033
- Size of remote file:
- 4.98 kB
- SHA256:
- de0e78406fe20421c295963e3b9d4a994404d2cf5ab827b058f56b32a3b72ad7
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