How to use from the
Use from the
Transformers library
# 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")
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification

processor = AutoImageProcessor.from_pretrained("ronka/postureDetection")
model = AutoModelForImageClassification.from_pretrained("ronka/postureDetection")
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This is a fine tuned model of google/vit-base-patch16-224-in21k specifically for Posture Detection.

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Model size
85.8M params
Tensor type
F32
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Dataset used to train ronka/postureDetection

Space using ronka/postureDetection 1