Instructions to use SeoJunn/hyuningface with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SeoJunn/hyuningface with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="SeoJunn/hyuningface")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("SeoJunn/hyuningface") model = AutoModelForObjectDetection.from_pretrained("SeoJunn/hyuningface") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50844b03b3b74499897ea7ddf3f2c3a77543c64dce7663eef4d695bbe5e61ca8
- Size of remote file:
- 4.47 kB
- SHA256:
- 578630683d11076e49744d41d1956b3e965413b1ad123b09226d392d085896f5
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