Instructions to use iammartian0/action_recognition_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iammartian0/action_recognition_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="iammartian0/action_recognition_model") 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("iammartian0/action_recognition_model") model = AutoModelForImageClassification.from_pretrained("iammartian0/action_recognition_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4ce0458cb2f43c57f3b044b3dc5b948ed332dc72c7bba39b83ebfce8e738e0e
- Size of remote file:
- 3.52 kB
- SHA256:
- 6cfc62c2b30ad428f759b92086cf2d183d7b464883acf5927ab7c9400102d64a
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