semvec/pypi-packages huggingface dataset:
data-pipeline-tool 0.1.2
A simple data pipeline package
License: MIT
Requires Python: >=3.8

# data-pipeline

A simple and reusable Python data pipeline package for loading, cleaning, and validating CSV data.  
This package is designed for beginners and data analysts who want a clean, structured way to process data.

---

## Features

- Load CSV files into pandas DataFrames
- Clean data by removing duplicates and missing values
- Validate data to ensure it is usable
- Simple one-function pipeline execution
- Lightweight and easy to integrate into any project

---

## Installation

Install the package from PyPI using pip:

```bash
pip install data_pipeline_tool
voxmlx 0.0.2
Voxtral Mini Realtime speech-to-text in MLX
License: MIT
Requires Python: >=3.10

# voxmlx

Realtime speech-to-text with
[Voxtral Mini Realtime](https://huggingface.co/mistralai/Voxtral-Mini-4B-Realtime-2602)
in [MLX](https://github.com/ml-explore/mlx).

## Install

```bash
pip install voxmlx
```

## Usage

### `voxmlx`

Transcribe audio from a file or stream from the microphone in real-time.

**Stream from microphone:**

```bash
voxmlx
```

**Transcribe a file:**

```bash
voxmlx --audio audio.flac
```

**Options:**

| Flag | Description | Default |
|------|-------------|---------|
| `--audio` | Path to audio file (omit to stream from mic) | None |
| `--model` | Model path or HuggingFace model ID | `mlx-community/Voxtral-Mini-4B-Realtime-6bit` |
| `--temp` | Sampling temperature (`0` = greedy) | `0.0` |

### `voxmlx-convert`

Convert Voxtral weights to voxmlx/MLX format with optional quantization.

**Basic conversion:**

```bash
voxmlx-convert --mlx-path voxtral-mlx
```

**4-bit quantized conversion:**

```bash
voxmlx-convert -q --mlx-path voxtral-mlx-4bit
```

**Convert and upload to HuggingFace:**

```bash
voxmlx-convert -q --mlx-path voxtral-mlx-4bit --upload-repo username/voxtral-mlx-4bit
```

**Options:**

| Flag | Description | Default |
|------|-------------|---------|
| `--hf-path` | HuggingFace model ID or local path | `mistralai/Voxtral-Mini-4B-Realtime-2602` |
| `--mlx-path` | Output directory | `mlx_model` |
| `-q`, `--quantize` | Quantize the model | Off |
| `--group-size` | Quantization group size | `64` |
| `--bits` | Bits per weight | `4` |
| `--dtype` | Cast weights (`float16`, `bfloat16`, `float32`) | None |
| `--upload-repo` | HuggingFace repo to upload converted model | None |

### Python API

```python
from voxmlx import transcribe

text = transcribe("audio.flac")
print(text)
```