spacy-huggingface-hub: Push your spaCy pipelines to the Hugging Face Hub

This package provides a CLI command for uploading any trained spaCy pipeline packaged with spacy package to the Hugging Face Hub. It auto-generates all meta information for you, uploads a pretty README (requires spaCy v3.1+) and handles version control under the hood.

🤗 About the Hugging Face Hub

The Hugging Face Hub hosts Git-based repositories which are storage spaces that can contain all your files. These repositories have multiple advantages: versioning (commit history and diffs), branches, useful metadata about their tasks, languages, metrics and more, browser-based visualizers to explore the models interactively in your browser, as well as an API to use the models in production.

🚀 Quickstart

You can install spacy-huggingface-hub from pip:

pip install spacy-huggingface-hub

To check if the command has been registered successfully:

python -m spacy huggingface-hub --help

You can upload any pipeline packaged with spacy package. Make sure to set --build wheel to output a binary .whl file. The uploader will read all metadata from the pipeline package, including the auto-generated pretty README.md and the model details available in the meta.json.

huggingface-cli login
python -m spacy package ./en_ner_fashion ./output --build wheel
cd ./output/en_ner_fashion-0.0.0/dist
python -m spacy huggingface-hub push en_ner_fashion-0.0.0-py3-none-any.whl

The command will output two things:

Where to find your repo in the Hub! For example, https://huggingface.co/spacy/en_core_web_sm
And how to install the pipeline directly from the Hub!

pip install https://huggingface.co/spacy/en_core_web_sm/resolve/main/en_core_web_sm-any-py3-none-any.whl

Now you can share your pipelines very quickly with others. Additionally, you can also test your pipeline directly in the browser!

⚙️ Usage and API

If spaCy is already installed in the same environment, this package automatically adds the spacy huggingface-hub commands to the CLI. If you don't have spaCy installed, you can also execute the CLI directly via the package.

`push`

python -m spacy huggingface-hub push [whl_path] [--org] [--msg] [--local-repo] [--verbose]

python -m spacy_huggingface_hub push [whl_path] [--org] [--msg] [--local-repo] [--verbose]

Argument	Type	Description
`whl_path`	str / `Path`	The path to the `.whl` file packaged with `spacy package`.
`--org`, `-o`	str	Optional name of organization to which the pipeline should be uploaded.
`--msg`, `-m`	str	Commit message to use for update. Defaults to `"Update spaCy pipeline"`.
`--verbose`, `-V`	bool	Output additional info for debugging, e.g. the full generated hub metadata.

Usage from Python

Instead of using the CLI, you can also call the push function from Python. It returns a dictionary containing the "url" of the published model and the "whl_url" of the wheel file, which you can install with pip install

from spacy_huggingface_hub import push

result = push("./en_ner_fashion-0.0.0-py3-none-any.whl")
print(result["url"])