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:
- 002f3e562970708573ef6c7ca08874ffe7f2aab6a7860fb84ce462b1cd397698
- Size of remote file:
- 167 MB
- SHA256:
- 0ce8c75b26fb49fcd10fb584f6f29fc6913055275976e89fb9e5b06c976dabad
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