Instructions to use ltsach/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltsach/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ltsach/detr_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ltsach/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("ltsach/detr_finetuned_cppe5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a0858d8c78d8c4022b31cb9ba6fea56d56ea3fd2628212a7e17cac567819348
- Size of remote file:
- 5.2 kB
- SHA256:
- 769dc61456f6b177a36be77e8501546e063015bcdc4c954365bdae77e3878c93
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