https://github.com/explosion/spacy-ray

☄️ Parallel and distributed training with spaCy and Ray
https://github.com/explosion/spacy-ray

distributed-computing machine-learning natural-language-processing parallel-training ray spacy training

Last synced: 5 months ago
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☄️ Parallel and distributed training with spaCy and Ray

• Host: GitHub
• URL: https://github.com/explosion/spacy-ray
• Owner: explosion
• License: mit
• Created: 2020-06-12T00:23:34.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2023-07-31T14:57:37.000Z (almost 2 years ago)
• Last Synced: 2025-01-29T18:38:17.284Z (5 months ago)
• Topics: distributed-computing, machine-learning, natural-language-processing, parallel-training, ray, spacy, training
• Language: Python
• Homepage:
• Size: 95.7 KB
• Stars: 53
• Watchers: 10
• Forks: 9
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        


# spacy-ray: Parallel and distributed training with spaCy and Ray

> ⚠️ This repo is still a work in progress and requires the new **spaCy v3.0**.

[Ray](https://ray.io/) is a fast and simple framework for building and running

**distributed applications**. This very lightweight extension package lets you

use Ray for parallel and distributed training with [spaCy](https://spacy.io). If

`spacy-ray` is installed in the same environment as spaCy, it will automatically

add `spacy ray` commands to your spaCy CLI.

The main command is `spacy ray train` for parallel and distributed training, but

we expect to add `spacy ray pretrain` and `spacy ray parse` as well.

[![tests](https://github.com/explosion/spacy-ray/actions/workflows/tests.yml/badge.svg)](https://github.com/explosion/spacy-ray/actions/workflows/tests.yml)

[![Current Release Version](https://img.shields.io/github/v/release/explosion/spacy-ray.svg?include_prereleases&sort=semver&style=flat-square&logo=github)](https://github.com/explosion/spacy-ray/releases)

[![PyPi Version](https://img.shields.io/pypi/v/spacy-ray.svg?include_prereleases&sort=semver&style=flat-square&logo=pypi&logoColor=white)](https://pypi.python.org/pypi/spacy-ray)

## 🚀 Quickstart

You can install `spacy-ray` from pip:

```bash

pip install spacy-ray

```

To check if the command has been registered successfully:

```bash

python -m spacy ray --help

```

Train a model using the same API as `spacy train`:

```bash

python -m spacy ray train config.cfg --n-workers 2

```