Instructions to use Dukeb/detr-detection-PCBComponents with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dukeb/detr-detection-PCBComponents with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Dukeb/detr-detection-PCBComponents")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Dukeb/detr-detection-PCBComponents") model = AutoModelForObjectDetection.from_pretrained("Dukeb/detr-detection-PCBComponents") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:2daff21d1edb10b753098e29f26caec22d31779016c109e90e478846156f64b8
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size 166527372
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