🪐 Project Templates

spaCy projects let you manage and share end-to-end spaCy workflows for different use cases and domains, and orchestrate training, packaging and serving your custom pipelines. You can start off by cloning a pre-defined project template, adjust it to fit your needs, load in your data, train a pipeline, export it as a Python package, upload your outputs to a remote storage and share your results with your team.

⚠️ spaCy project templates require spaCy v3. You can install it from pip with pip install spacy or conda with conda install spacy -c conda-forge. Make sure to use a fresh virtual environment.

See the master branch for the previous version of this repo.

🗃 Categories

Name	Description
`pipelines`	Templates for training NLP pipelines with different components on different corpora.
`tutorials`	Templates that work through a specific NLP use case end-to-end.
`integrations`	Templates showing integrations with third-party libraries and tools for managing your data and experiments, iterating on demos and prototypes and shipping your models into production.
`benchmarks`	Templates to reproduce our benchmarks and produce quantifiable results that are easy to compare against other systems or versions of spaCy.
`experimental`	Experimental workflows and other cutting-edge stuff to use at your own risk.

🚀 Quickstart

Projects can be used via the new spacy project CLI. To find out more about a command, add --help. For detailed instructions, see the usage guide.

Clone the project template you want to use.

python -m spacy project clone tutorials/ner_fashion_brands

Fetch assets (data, weights) defined in the project.yml.
```
cd ner_fashion_brands
python -m spacy project assets
```
Run a command defined in the project.yml.
```
python -m spacy project run preprocess
```
Run a workflow of multiple steps in order.
```
python -m spacy project run all
```
Adjust the template for your specific use case, load in your own data, adjust the settings and model and share the result with your team.

👷‍♀️Repository maintanance

To keep the project templates and their documentation up to date, this repo contains several scripts:

Script	Description
`update_docs.py`	Update all auto-generated docs in the given root. Calls into `spacy project document` and only replaces the auto-generated sections, not any custom content before or after.
`update_category_docs.py`	Update the auto-generated `README.md` in the category directories listing the available project templates.
`update_configs.py`	Update and auto-fill all `config.cfg` files included in the repo, similar to `spacy init fill-config`. Can be used to keep the configs up to date with changes in spaCy.
`update_projects_jsonl.py`	Update `projects.jsonl` file in the given root. Should be used at the root level of the repo.

License

bmedi/projects

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