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
File size: 129 Bytes
9728827 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:368f62d50e18c09b18efe027dd8569b1942df49afc55ca1bceb4e2cc3f0b40bb
size 4472
|