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barbarasdk 1.0.0
Barbara-sdk: Python SDK for Barbara Edge Computing Platform
Deploy your machine learning models to the edge with the Barbara Python SDK. This intuitive library empowers you to streamline your workflow and accelerate edge AI development.
Features
Seamless Uploads: Upload your models directly from Python code or Jupyter Notebooks to your Barbara model library.
Simplified Deployment: Deploy models directly to edge nodes with just a few lines of code.
Enhanced Efficiency: Automate model training & deployment tasks and save valuable development time.
Streamlined Workflow: Integrate edge AI development seamlessly into your existing Python environment.
Prerequisites
Python (version 3.8 or higher)
Barbara API Credentials
To use this SDK you will need the following credentials:
Username: Your Barbara username.
Password: Your Barbara password.
Client Secret: This credential is only available for users with an Enterprise License.
Client Id: This credential is only available for users with an Enterprise License.
Obtaining Enterprise Credentials
If you have an Enterprise License and require the Client Secret and Client ID, please contact Barbara support by sending an email to [email protected].
Security Note
We strongly recommend storing your username and password securely and avoiding embedding them directly in your code. Consider using environment variables or a secure credential management solution.
Installation with pip
pip install barbara-sdk
Usage
Import the SDK:
import barbara
Create an instance of the SDK
bbr = barbara.ApiClient('client_id', 'client_secret', 'username', 'password')
Replace 'client_id', 'client_secret', 'username' and 'password' with your actual API credentials.
Uploading models to your Library
bbr.models.upload('model_path', 'model_name')
Listing models in your Library
bbr.models.list()
Listing Edge Nodes
bbr.nodes.list()
Deploy a model to an Edge Node
bbr.models.deploy('edge_node_name', 'model_name')
Documentation
For detailed API reference and code examples, please refer to Barbara Academy
License
See the LICENSE file for details.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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