Instructions to use sgdkn/pose-classification-hp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgdkn/pose-classification-hp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sgdkn/pose-classification-hp") 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("sgdkn/pose-classification-hp") model = AutoModelForImageClassification.from_pretrained("sgdkn/pose-classification-hp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4921554c724d97fbbca63a9d051a8fe1f0461cf6ab584fa49844260fba9787f1
- Size of remote file:
- 343 MB
- SHA256:
- a6b351be300620fecc1d81534e83508c7c5777e88c123a22b790655b4d162501
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