Instructions to use Alesteba/deep_model_09_detr-resnet-50_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alesteba/deep_model_09_detr-resnet-50_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Alesteba/deep_model_09_detr-resnet-50_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Alesteba/deep_model_09_detr-resnet-50_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("Alesteba/deep_model_09_detr-resnet-50_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2d043a83031a96fa1028dcd4065bb867db2c8c73d0e2d0ce452859213dfb7df
- Size of remote file:
- 167 MB
- SHA256:
- 89e542614c24fb42638d05034601cf677fae9c3da1ffdc31d465c65719540dd5
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