<p align="center">
<h2 align="center">Jina Embedding Models on AWS SageMaker</h2>
</p>
<p align=center>
<a href="https://pypi.org/project/jina-sagemaker/"><img alt="PyPI" src="https://img.shields.io/pypi/v/jina-sagemaker?label=Release&style=flat-square"></a>
<a href="https://discord.jina.ai"><img src="https://img.shields.io/discord/1106542220112302130?logo=discord&logoColor=white&style=flat-square"></a>
<a href="https://pypistats.org/packages/jina-sagemaker"><img alt="PyPI - Downloads from official pypistats" src="https://img.shields.io/pypi/dm/jina-sagemaker?style=flat-square"></a>
</p>
`jina-sagemaker` package offers streamlined tools for interacting with [Jina Embedding Models through the AWS SageMaker Marketplace](), all within a Python environment.
## Installation
The package can be installed with pip:
```bash
pip install --upgrade jina-sagemaker
```
Install from source:
```bash
python setup.py install
```
## Usage
Please configure your AWS credentials before using this package. You can do this by following the instructions [here](https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-quickstart.html).
Following notebooks give an overview of how to use the package for inference and batch transform jobs:
- [Real-time Inference](notebooks/Real-time%20inference.ipynb)
- [Batch Transform](notebooks/Batch%20transform.ipynb)
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