Instructions to use ronka/postureDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ronka/postureDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ronka/postureDetection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ronka/postureDetection") model = AutoModelForImageClassification.from_pretrained("ronka/postureDetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ronka/postureDetection: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/ronka/postureDetection/resolve/main/training_args.bin
- Command line
-
hf download hf://ronka/postureDetection/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ronka/postureDetection/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- b3fde06b86fd82fa5db35393d6c5a07581fd3cbbc424e2c41001e2860b4394c0
- Size of remote file:
- 4.98 kB
- SHA256:
- a74aec1f2141ebccd9ef60a8ddf9b9adf610a00b888b2cd01f5930d56efd3209
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