Instructions to use Batr97/DETR_coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Batr97/DETR_coco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Batr97/DETR_coco")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Batr97/DETR_coco") model = AutoModelForObjectDetection.from_pretrained("Batr97/DETR_coco") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:02b177592a4627bf061cac21dcaa62159b903b63be50f7722de9864efe2efae0
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size 166576588
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