ronka/postureDataset
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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") # Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("ronka/postureDetection")
model = AutoModelForImageClassification.from_pretrained("ronka/postureDetection")# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("ronka/postureDetection")
model = AutoModelForImageClassification.from_pretrained("ronka/postureDetection")This is a fine tuned model of google/vit-base-patch16-224-in21k specifically for Posture Detection.
# 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")