Instructions to use pradiptaseeker/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pradiptaseeker/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="pradiptaseeker/detr_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("pradiptaseeker/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("pradiptaseeker/detr_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1557717c36a36bb6e2d8cdcf0e8c9c4c5f027747f4412de23d41fe90134a1c8
- Size of remote file:
- 5.2 kB
- SHA256:
- dc26235de7531145f9e2db59614c1be6fe7e00a1f6fad2226e9def19b2a924d5
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