Instructions to use dexforint/detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dexforint/detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="dexforint/detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("dexforint/detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("dexforint/detr-resnet-50_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57d82977eab878a5dc28043ef8c38a766e7434ae3ab64b2aa79e12e6e17d9988
- Size of remote file:
- 167 MB
- SHA256:
- ccd51966368e5110fa23830700d674dc6f979346c75f0e68cf7b14b4b4fdf38e
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