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:
- 9b499e72a5fedff7f7ff18f48d50edf92b3f6309bfdaea6a09c47d75ac099c75
- Size of remote file:
- 167 MB
- SHA256:
- d1a4ddd5c1de85be19cbbbc5c5d2ecd930fa334a79a5eb26cd9a546dabf0da3b
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