Instructions to use memogamd/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use memogamd/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="memogamd/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("memogamd/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("memogamd/detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1200
Browse files
pytorch_model.bin
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runs/Apr14_12-47-19_7e36b996951c/events.out.tfevents.1681476454.7e36b996951c.550.0
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