Instructions to use ilililili/furniture-ngpea_HWTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ilililili/furniture-ngpea_HWTest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ilililili/furniture-ngpea_HWTest")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ilililili/furniture-ngpea_HWTest") model = AutoModelForObjectDetection.from_pretrained("ilililili/furniture-ngpea_HWTest") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d3602729ccb6d5cbe06b9b74d7e8e8056c2500d73903b598dfeb2f3631213ef
- Size of remote file:
- 166 MB
- SHA256:
- 2345845ff5d77c5c2195100804e4f79f5a57488b3da9089ed1234b730197acbc
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