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:
- 9a1a7d1bdba254e66622d731a9cf802dbd19b1ddb8f6a335d6ec71856803e2a4
- Size of remote file:
- 167 MB
- SHA256:
- 45bca46b4fec0bde636011c422025ebd21288491634c1851f2f735c088d98afb
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