semvec/pypi-packages huggingface dataset:
asciimj 0.3.0
A package to convert images to ASCII art
Requires Python: >=3.6

# Image to ASCII
        
        [![PyPI version](https://badge.fury.io/py/image-ascii.svg)](https://badge.fury.io/py/image-ascii)
        [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
        [![Python Version](https://img.shields.io/badge/python-3.6%2B-blue.svg)](https://www.python.org/downloads/)
        [![Code Style: Black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
        [![Contributions Welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](https://github.com/yourusername/image-ascii/issues)
        ![Commit Activity](https://img.shields.io/github/commit-activity/y/tianhukj/image-ascii)
        ![GitHub Watchers](https://img.shields.io/github/watchers/tianhukj/image-ascii?style=social)
        ![GitHub Stars](https://img.shields.io/github/stars/tianhukj/image-ascii?style=social)
        [![Buy Me a Coffee](https://img.shields.io/badge/Donate-Buy%20Me%20A%20Coffee-FF813F.svg?logo=buy-me-a-coffee)](https://www.buymeacoffee.com/tianhukj)
        [![Python package](https://github.com/tianhukj/image-ascii/actions/workflows/python-package.yml/badge.svg)](https://github.com/tianhukj/image-ascii/actions/workflows/python-package.yml)
        
        
        #### A simple Python package to convert images to ASCII art.
        
        ## Installation
        
        ```bash
        pip install asciimj
        ```
        
        ## Contributing
        Contributions are welcome! If you have any suggestions or find any issues, feel free to open an issue or submit a pull request.
        
        ### Clone the repository
        ```bash
        git clone https://github.com/tianhukj/asciimj.git
        ```
        
        ## License
        This project is licensed under the MIT License. See the LICENSE![](/LICENSE) file for details.
pydantic-ai-mlx-lm 0.1.7
Run MLX compatible HuggingFace models with Pydantic AI
Requires Python: >=3.12

<div align="center">
	<h1 align="center">pydantic-ai-mlx-lm</h1>
	<p align="center">MLX local inference for <a href="https://github.com/pydantic/pydantic-ai" target="_blank">Pydantic AI</a> through <a href="https://github.com/ml-explore/mlx-examples/blob/main/llms" target="_blank">mlx-lm</a></p>
  <br/>
</div>

<p align="center">
  <a href="https://pypi.org/project/pydantic-ai-mlx-lm">
    <img src="https://img.shields.io/pypi/pyversions/pydantic-ai-mlx-lm" alt="pydantic-ai-mlx-lm" />
  </a>
  <a href="https://pypi.org/project/pydantic-ai-mlx-lm">
    <img src="https://img.shields.io/pypi/dm/pydantic-ai-mlx-lm" alt="PyPI download count">
  </a>
</p>

Run MLX compatible HuggingFace models on Apple silicon locally with Pydantic AI.

Still in development:
- [x] Non-streaming and streaming text requests
- [ ] Tool support

_Apple's MLX seems more performant on Apple Silicon than llama.cpp, which is what Ollama uses. (as of January 25)_

## Installation

```bash
uv add pydantic-ai-mlx-lm
```