Instructions to use Mit1208/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mit1208/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Mit1208/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Mit1208/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("Mit1208/detr-resnet-50_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5efc64a1cc154eb857dcf04bae00c4e8cc6d73a06075f29b6704f52560cf82ea
- Size of remote file:
- 3.64 kB
- SHA256:
- 058a1a1c8827aa3b32c0d5cfd9370400a322b1af47ecb7c088bf84633525f93d
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