$2.00
Link for the tutorial : https://youtu.be/8k6oNjl2EgE
In this tutorial, we use a Vision Transformer (ViT) model to classify an image in Python.
The Python script uses a Vision Transformer model from Hugging Face to classify an image by first loading and preprocessing it with OpenCV
We load an image using OpenCV, preprocess it for the ViT model, and classify it using the ViT-Base-Patch16-224 model from Hugging Face.
The predicted label is displayed on the image and saved as an output file.