Instructions to use robbymhdr/DETR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robbymhdr/DETR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="robbymhdr/DETR")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("robbymhdr/DETR") model = AutoModelForObjectDetection.from_pretrained("robbymhdr/DETR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from robbymhdr/DETR: direct link, hf CLI and curl.
- Browser
- Download file 93 Bytes
-
https://huggingface.co/robbymhdr/DETR/resolve/main/README.md
- Command line
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hf download hf://robbymhdr/DETR/README.md
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curl -L -o README.md https://huggingface.co/robbymhdr/DETR/resolve/main/README.md
93 Bytes
metadata
license: apache-2.0
language:
- en
metrics:
- mean_iou
pipeline_tag: object-detection