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")
https://huggingface.co/ronka/postureDetection/resolve/main/README.md
hf download hf://ronka/postureDetection/README.md
curl -L -o README.md https://huggingface.co/ronka/postureDetection/resolve/main/README.md
datasets: - ronka/postureDataset library_name: transformers
This is a fine tuned model of google/vit-base-patch16-224-in21k specifically for Posture Detection.
