Instructions to use LeeJongHyuk22/furniture-ngpea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeeJongHyuk22/furniture-ngpea with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="LeeJongHyuk22/furniture-ngpea")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("LeeJongHyuk22/furniture-ngpea") model = AutoModelForObjectDetection.from_pretrained("LeeJongHyuk22/furniture-ngpea") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 178f4d2e22deda16d0501e3b326b16b08f6e05953a9e750133359da88f0b7057
- Size of remote file:
- 4.54 kB
- SHA256:
- 1ca00c4064dbf79c71601aca9212b2ae9a3776785bc24946f7c42520eb59ecce
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