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:
- 223b0dc32dec9fd69db458db368d7e6228d72b97986aab5c18056d13096aa437
- Size of remote file:
- 3.64 kB
- SHA256:
- 5a09c77e70c529a4baee76e1de4e4fa7482c0551742118347fd00cb225e56681
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