This repository contains SavviHub examples. If you want to learn more about SavviHub please follow the quick start documentation.
Run MNIST example and save model:
- PyTorch
- Dataset mount
- Create a new dataset with a public S3 bucket directory
s3://savvihub-public-apne2/mnist. - Mount the dataset to
/inputat the experiment create form.
- Create a new dataset with a public S3 bucket directory
- Command
pip install -r mnist/pytorch/requirements.txt && python mnist/pytorch/main.py --save-model
- Keras
- No dataset needed.
- Command
pip install -r mnist/keras/requirements.txt && python mnist/keras/main.py --save-model
Run Detectron2 example:
- Dataset mount
- Create a new dataset with a public S3 bucket directory
s3://savvihub-public-apne2/detectron2. - Mount the dataset to
/inputat the experiment create form.
- Create a new dataset with a public S3 bucket directory
- Command
pip install -r detectron2/requirements.txt && python detectron2/main.py