Instructions to use nextt/detr_finetuned_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nextt/detr_finetuned_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="nextt/detr_finetuned_cppe5")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("nextt/detr_finetuned_cppe5") model = AutoModelForObjectDetection.from_pretrained("nextt/detr_finetuned_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3487c722dc4fd273886a2b36f5017660e27839aeac9363e1d0703170851a05fd
- Size of remote file:
- 174 MB
- SHA256:
- 098e252e4835bcfb456b4e54c2a9c117341fffdda78ae496f81fb711b5f98234
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