Instructions to use popkek00/fall-detection-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use popkek00/fall-detection-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="popkek00/fall-detection-ft") 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("popkek00/fall-detection-ft") model = AutoModelForImageClassification.from_pretrained("popkek00/fall-detection-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2233a3fd108b8fd2afffad823b5c5319950a075fe5c20ef7e664e20e1e6bde21
- Size of remote file:
- 5.84 kB
- SHA256:
- 21cee77d85ecbcd054f801d6e3478063cbb96730599e91856fd8a2c829532fe0
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