Instructions to use LucyintheSky/pose-estimation-front-side-back with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LucyintheSky/pose-estimation-front-side-back with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="LucyintheSky/pose-estimation-front-side-back") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("LucyintheSky/pose-estimation-front-side-back") model = AutoModelForImageClassification.from_pretrained("LucyintheSky/pose-estimation-front-side-back") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23f60cd174b2fff9479539d5b0665fa3a293d1cbfcc00e300c901386e00116df
- Size of remote file:
- 4.09 kB
- SHA256:
- d15365ed00a7e9acdd03f41147628acf11d092f2cfba7c88aeb86fd0317c7038
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