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:
- 171ee3d2c6c712984301d27eb306de788d0c2551c029ddc5e8e198d5006a46d1
- Size of remote file:
- 343 MB
- SHA256:
- 63c26268ca35857d4c5270a42a2230ec54ba2a4b6fe367487008114e6d157eab
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