Instructions to use tejp/human-actions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tejp/human-actions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="tejp/human-actions") 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("tejp/human-actions") model = AutoModelForImageClassification.from_pretrained("tejp/human-actions") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d7ac5893cb65de4290ba039473ba6f76861dcf1e69040f1cea65997e4bf98de
- Size of remote file:
- 4.03 kB
- SHA256:
- b52e3c5b6f2a940d5f9aa360479ca80737c617c94b5c685875465ce98dfbd5e1
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