Instructions to use hyonee/hyuningface with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyonee/hyuningface with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="hyonee/hyuningface")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("hyonee/hyuningface") model = AutoModelForObjectDetection.from_pretrained("hyonee/hyuningface", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a50c55b517080bad09a2f16a21432784eb5e620ecd0e6fcf49f6968459dfbf5
- Size of remote file:
- 4.47 kB
- SHA256:
- 368f62d50e18c09b18efe027dd8569b1942df49afc55ca1bceb4e2cc3f0b40bb
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