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:
- 7e8b29bce23ecbd01d62b0f23cf4867d41b5286076220d24a4f21ee88156dade
- Size of remote file:
- 3.96 kB
- SHA256:
- 61a57178d741fcd8f12260316aaf08ba2fc04aa6cd022574b4c3dc4f15fee198
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