Instructions to use ashaduzzaman/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashaduzzaman/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ashaduzzaman/detr_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ashaduzzaman/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("ashaduzzaman/detr_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99e3350bfbe0e0540ad7b59515e6c2e6e803b256266930981a98e31cbb20f9d6
- Size of remote file:
- 166 MB
- SHA256:
- 057ad8a27dcf7c6cba2ab41aea755467bd76907b0d81511783fcdbefee5d7706
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