<p align="center">
<h2 align="center">Jina 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).
Please follow the examples in `notebooks` to get an overview of how to use model packages offered for real time inference and batch transform jobs.
Raw data
{
"_id": null,
"home_page": "https://github.com/jina-ai/jina-sagemaker",
"name": "jina-sagemaker",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": null,
"author": "Jina AI",
"author_email": "hello@jina.ai",
"download_url": "https://files.pythonhosted.org/packages/97/a6/c69ba931b928ab1f6a77b2c17f61fe6f76bef798c43d41b08ab94a9edfe7/jina-sagemaker-0.0.42.tar.gz",
"platform": null,
"description": "<p align=\"center\">\n<h2 align=\"center\">Jina Models on AWS SageMaker</h2>\n</p>\n\n\n<p align=center>\n<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>\n<a href=\"https://discord.jina.ai\"><img src=\"https://img.shields.io/discord/1106542220112302130?logo=discord&logoColor=white&style=flat-square\"></a>\n<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>\n</p>\n\n`jina-sagemaker` package offers streamlined tools for interacting with [Jina Embedding Models through the AWS SageMaker Marketplace](), all within a Python environment.\n\n## Installation\n\nThe package can be installed with pip:\n```bash\npip install --upgrade jina-sagemaker\n```\n\nInstall from source:\n```bash\npython setup.py install\n```\n\n## Usage\n\nPlease 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).\n\nPlease follow the examples in `notebooks` to get an overview of how to use model packages offered for real time inference and batch transform jobs.\n\n",
"bugtrack_url": null,
"license": "Apache 2.0",
"summary": "Python library for the Jina endpoints in AWS Sagemaker",
"version": "0.0.42",
"project_urls": {
"Download": "https://github.com/jina-ai/jina-sagemaker/tags",
"Homepage": "https://github.com/jina-ai/jina-sagemaker"
},
"split_keywords": [],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "97a6c69ba931b928ab1f6a77b2c17f61fe6f76bef798c43d41b08ab94a9edfe7",
"md5": "d9017702b6c14151b5fffae5e512a5fa",
"sha256": "8f64903d85798c483f2dff40139c56ba4e0850827b28cd57c25a26aacc68cf42"
},
"downloads": -1,
"filename": "jina-sagemaker-0.0.42.tar.gz",
"has_sig": false,
"md5_digest": "d9017702b6c14151b5fffae5e512a5fa",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 13469,
"upload_time": "2025-01-23T09:28:35",
"upload_time_iso_8601": "2025-01-23T09:28:35.162351Z",
"url": "https://files.pythonhosted.org/packages/97/a6/c69ba931b928ab1f6a77b2c17f61fe6f76bef798c43d41b08ab94a9edfe7/jina-sagemaker-0.0.42.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-01-23 09:28:35",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "jina-ai",
"github_project": "jina-sagemaker",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "jina-sagemaker"
}
JSON
