Instructions to use nateraw/hot-dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/hot-dog with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="nateraw/hot-dog")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("nateraw/hot-dog") model = AutoModelForObjectDetection.from_pretrained("nateraw/hot-dog", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58828a02a1277bcf41cdf39a963630787fd81174cdf4c57a7e3249e05503886c
- Size of remote file:
- 167 MB
- SHA256:
- 083e1f61171e073494414f2fc2f55c793b5c4b2b99d894490122500dc5677d5e
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