Feel free to leave comments and ask questions about @Rob’s post on training and saving models with self-hosted runners!
Hello,
On the CML docs, when using bitbucket pipelines we can use the iterativeai/cml:0-dvc2-base1 image when creating the runner and then training the model using the provisioned runner with python3.8.x. But in my case I need to upgrade the python version, which in the blog post solved by using github actions ( actions/setup-python@v2 & iterative/setup-cml@v1)
is there any equivalent example to implement it in bitbucket-pipelines? any suggestions also would be helpful
Thank youu~