Instructions to use yota-code/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yota-code/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="yota-code/detr_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("yota-code/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("yota-code/detr_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8269736317d1b4d14784b9f23e52fb5e68e985665de9321beed25ff4d770f16c
- Size of remote file:
- 174 MB
- SHA256:
- 464b5955bedd9d9b193ef63ea14555925a2176de74c226feb277505aa41b7852
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