- Overview
- Users
- Managing Models and Releases
- Uploading Artifacts
- Creating a Model
- Completing the Model
- Creating a Release
- Uploading Files
- Uploading Images
- Using a Model
- Requesting Access
- Personal Access Tokens
- Using a a Pushed Docker Image
- Downloading files
- Reviews
- Reviewing Releases and Access Requests
- Reviewing a Release
- Reviewing an Access Request
- Reviewed Releases and Access Requests
- Releases
- Access Requests
- Programmatically using Bailo
- Authentication
- Open API
- Webhooks
- Python Client
- Administration
- Getting Started
- App Configuration
- Microservices
- File Scanners
- Helm
- Basic Usage
- Configuration
- Isolated Environments
- Schema
- Create a Schema
- Upload a Schema
- Migrations
- Bailo v0.4
- Bailo v2.0
- DataBase Scripts
Python Client
Bailo also provides a wrapper for all endpoints in the form of a Python Client. It is now available on the Python Package Index.
You can find the full Python documentation here
Install the Python Client with:
pip install bailo
Why would I want to use this instead of the Webpage?
This python package is specifically designed to integrate with Python's tools and packages. This is ideal for using pretrained models in your notebooks, data analysis, automation or scripting.
Scripting and Automation
This Python Client provides a better way to add additional Bailo functionality to projects.
Using ML Tools with Bailo
This package allows you to work with ML tools for example MLFlow for experiment tracking.
Install the Python Client with MLFlow with:
pip install bailo[mlflow]
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