The legal document scoring model
- Finish Brazillian prototype
- Connect to API and make downloader, experiment with courts
- API Official
- API Guide/Blog
- Court Listener
- US Court Records
- Federal Court Cases
- Justice.gov
- Justia
- Federal Records Center
- Supreme Court
- UCLA Law Library
- VA Courts
- Data.gov
- docker
- a bash shell
- start your training environment by running
sh run-training-environment.sh
orsh gpu-environment.sh
and follow the link to the jupyter server - Use a downloader to download a dataset into the data folder
- Run a training notebook to fit your model
- Export your model to the saved models folder
- Shrink, optimize, and deploy your model, see deploy for examples
Yes, but you need to install docker first, see link above. if on Windows run the windows-training-environment.sh
feel free to open an issue if that doesn't work.
Go to the terminal where you ran the run-training....sh
and press CTRL+C
, WTF
Try this tutorial to learn more tutorial
Can I deploy this in a cloud environment via Docker? or run it on my big ML rig with many nvidia GPUs?
Hell yes you can! I'll eventually write a more detailed guide here on how to do that, but the setup is almost identical to running locally.