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:
- d9fcaf89d5abbd4b7c1829d9cf3b6f49529c0b68680b2e800eb5e0f0a8e069ec
- Size of remote file:
- 166 MB
- SHA256:
- d964a9b27d1accc8e25a2c53bf7b2750114e425c801fe7605bfec4871b36aff2
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