Buckets:
| # Install the Lightning SDK | |
| # pip install -U lightning-sdk | |
| # login to the platform | |
| # export LIGHTNING_USER_ID=7f09fd0a-656b-4439-91f2-7e52847e375c | |
| # export LIGHTNING_API_KEY=612c710c-015c-402a-af74-9e7a70a93a0f | |
| from lightning_sdk import Machine, Studio, JobsPlugin, MultiMachineTrainingPlugin | |
| # Start the studio | |
| s = Studio(name="djangotutosdoc", teamspace="test-of-dem-mcm", user="tiffank1802") | |
| print("starting Studio...") | |
| # prints Machine.CPU-4 | |
| print(s.machine) | |
| # |
Xet Storage Details
- Size:
- 471 Bytes
- Xet hash:
- a13c9882f2a34d406cddc00f58e1bf786e6ab494cbc30438dbddc11fb902ab51
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.