Instructions to use prithivMLmods/Human-Action-Recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Human-Action-Recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Human-Action-Recognition") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Human-Action-Recognition") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Human-Action-Recognition") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11398d0f3e2ab0c4bcc27a36a5d14f9dc59376ecc04460d064b04cfec33a9e95
- Size of remote file:
- 5.3 kB
- SHA256:
- 6accd8d14522454c70031a1ac819cad32d4e338136bd21a2a4dcb3fdb03364bb
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