This repository contains the code supporting the ViT target model for use with Autodistill.
ViT is a classification model pre-trained on ImageNet-21k, developed by Google. You can train ViT classification models using Autodistill.
Read the full Autodistill documentation.
Read the ViT Autodistill documentation.
To use the ViT target model, you will need to install the following dependency:
pip3 install autodistill-vitfrom autodistill_vit import ViT
target_model = ViT()
# train a model from a classification folder structure
target_model.train("./context_images_labeled/", epochs=200)
# run inference on the new model
pred = target_model.predict("./context_images_labeled/train/images/dog-7.jpg", conf=0.01)The code in this repository is licensed under an Apache 2.0 license.
We love your input! Please see the core Autodistill contributing guide to get started. Thank you 🙏 to all our contributors!