Instructions to use ethans333/detr-finetuned-cppe-5-10k-steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethans333/detr-finetuned-cppe-5-10k-steps with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ethans333/detr-finetuned-cppe-5-10k-steps")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ethans333/detr-finetuned-cppe-5-10k-steps") model = AutoModelForObjectDetection.from_pretrained("ethans333/detr-finetuned-cppe-5-10k-steps", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcd739adaefcc8fa9f1d49bced7e1ae5f352eaa8e3590e10be763b8d6ad81a62
- Size of remote file:
- 5.3 kB
- SHA256:
- 3bade68bd6f6432c517a4dfc52d5379573d834fa8f12b5c7f60dbde2ec116ece
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