leapcli
using the following command:leap
command shall be available.leap
CLI is installed, you can initialize your project to be synced with the Tensorleap platform. .tensorleap/config.toml
file and could be changed if needed.leap login
command within the initialized project path, as such:API_ID
, API_KEY
and the ORIGIN
, along with the full command, can easily be found by clicking the .tensorleap/dataset.py
file..tensorleap/model.py
, an example script below:leap_save_model
is automatically called by the CLI when pushing a model into the Tensorleap platform. Its purpose is to prepare and store the model in the provided target_file_path
.branch-name
, description
and model-name
as such:DATASET_NAME
Dataset Instance, and connect it to the first layer.Revision Name
. This adds the new version to the Versions view. More info at Save a Version.