Instructions to use tsime/detr_mapilary_reduced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tsime/detr_mapilary_reduced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="tsime/detr_mapilary_reduced")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("tsime/detr_mapilary_reduced") model = AutoModelForObjectDetection.from_pretrained("tsime/detr_mapilary_reduced") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b64d3d108ae5f6f9fd6f7ccfcd5c3dfbaf9bb8a26108507294a4cc09ed0e1d26
- Size of remote file:
- 161 MB
- SHA256:
- 87cbc06f3e485a49ee768e6188eb01cecc5334f9c99fed31e38d401af24ada9f
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