From 80754d7065826e7e4275fafc12b8f979a43d7fd3 Mon Sep 17 00:00:00 2001 From: Ines Montani Date: Mon, 14 Sep 2020 10:29:06 +0200 Subject: [PATCH] Update README.md [ci skip] --- README.md | 78 ++++++++++++++++++++++++------------------------------- 1 file changed, 34 insertions(+), 44 deletions(-) diff --git a/README.md b/README.md index cef2a1fdd..d23051af0 100644 --- a/README.md +++ b/README.md @@ -4,17 +4,19 @@ spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to -be used in real products. spaCy comes with -[pretrained statistical models](https://spacy.io/models) and word vectors, and -currently supports tokenization for **60+ languages**. It features +be used in real products. + +spaCy comes with +[pretrained pipelines](https://spacy.io/models) and vectors, and +currently supports tokenization for **59+ languages**. It features state-of-the-art speed, convolutional **neural network models** for tagging, -parsing and **named entity recognition** and easy **deep learning** integration. -It's commercial open-source software, released under the MIT license. +parsing, **named entity recognition**, **text classification** and more, multi-task learning with pretrained **transformers** like BERT, as well as a production-ready training system and easy model packaging, deployment and workflow management. +spaCy is commercial open-source software, released under the MIT license. ๐Ÿ’ซ **Version 2.3 out now!** [Check out the release notes here.](https://github.com/explosion/spaCy/releases) -[![Azure Pipelines]()](https://dev.azure.com/explosion-ai/public/_build?definitionId=8) +[![Azure Pipelines](https://img.shields.io/azure-devops/build/explosion-ai/public/8/master.svg?logo=azure-pipelines&style=flat-square&label=build)](https://dev.azure.com/explosion-ai/public/_build?definitionId=8) [![Current Release Version](https://img.shields.io/github/release/explosion/spacy.svg?style=flat-square&logo=github)](https://github.com/explosion/spaCy/releases) [![pypi Version](https://img.shields.io/pypi/v/spacy.svg?style=flat-square&logo=pypi&logoColor=white)](https://pypi.org/project/spacy/) [![conda Version](https://img.shields.io/conda/vn/conda-forge/spacy.svg?style=flat-square&logo=conda-forge&logoColor=white)](https://anaconda.org/conda-forge/spacy) @@ -31,7 +33,7 @@ It's commercial open-source software, released under the MIT license. | --------------- | -------------------------------------------------------------- | | [spaCy 101] | New to spaCy? Here's everything you need to know! | | [Usage Guides] | How to use spaCy and its features. | -| [New in v2.3] | New features, backwards incompatibilities and migration guide. | +| [New in v3.0] | New features, backwards incompatibilities and migration guide. | | [API Reference] | The detailed reference for spaCy's API. | | [Models] | Download statistical language models for spaCy. | | [Universe] | Libraries, extensions, demos, books and courses. | @@ -39,7 +41,7 @@ It's commercial open-source software, released under the MIT license. | [Contribute] | How to contribute to the spaCy project and code base. | [spacy 101]: https://spacy.io/usage/spacy-101 -[new in v2.3]: https://spacy.io/usage/v2-3 +[new in v3.0]: https://spacy.io/usage/v3 [usage guides]: https://spacy.io/usage/ [api reference]: https://spacy.io/api/ [models]: https://spacy.io/models @@ -56,34 +58,29 @@ be able to provide individual support via email. We also believe that help is much more valuable if it's shared publicly, so that more people can benefit from it. -| Type | Platforms | -| ------------------------ | ------------------------------------------------------ | -| ๐Ÿšจ **Bug Reports** | [GitHub Issue Tracker] | -| ๐ŸŽ **Feature Requests** | [GitHub Issue Tracker] | -| ๐Ÿ‘ฉโ€๐Ÿ’ป **Usage Questions** | [Stack Overflow] ยท [Gitter Chat] ยท [Reddit User Group] | -| ๐Ÿ—ฏ **General Discussion** | [Gitter Chat] ยท [Reddit User Group] | +| Type | Platforms | +| ----------------------- | ---------------------- | +| ๐Ÿšจ **Bug Reports** | [GitHub Issue Tracker] | +| ๐ŸŽ **Feature Requests** | [GitHub Issue Tracker] | +| ๐Ÿ‘ฉโ€๐Ÿ’ป **Usage Questions** | [Stack Overflow] | [github issue tracker]: https://github.com/explosion/spaCy/issues [stack overflow]: https://stackoverflow.com/questions/tagged/spacy -[gitter chat]: https://gitter.im/explosion/spaCy -[reddit user group]: https://www.reddit.com/r/spacynlp ## Features -- Non-destructive **tokenization** -- **Named entity** recognition -- Support for **50+ languages** -- pretrained [statistical models](https://spacy.io/models) and word vectors +- Support for **59+ languages** +- **Trained pipelines** +- Multi-task learning with pretrained **transformers** like BERT +- Pretrained **word vectors** - State-of-the-art speed -- Easy **deep learning** integration -- Part-of-speech tagging -- Labelled dependency parsing -- Syntax-driven sentence segmentation +- Production-ready **training system** +- Linguistically-motivated **tokenization** +- Components for named **entity recognition**, part-of-speech-tagging, dependency parsing, sentence segmentation, **text classification**, lemmatization, morphological analysis, entity linking and more +- Easily extensible with **custom components** and attributes +- Support for custom models in **PyTorch**, **TensorFlow** and other frameworks - Built in **visualizers** for syntax and NER -- Convenient string-to-hash mapping -- Export to numpy data arrays -- Efficient binary serialization -- Easy **model packaging** and deployment +- Easy **model packaging**, deployment and workflow management - Robust, rigorously evaluated accuracy ๐Ÿ“– **For more details, see the @@ -102,13 +99,6 @@ For detailed installation instructions, see the [pip]: https://pypi.org/project/spacy/ [conda]: https://anaconda.org/conda-forge/spacy -> โš ๏ธ **Important note for Python 3.8:** We can't yet ship pre-compiled binary -> wheels for spaCy that work on Python 3.8, as we're still waiting for our CI -> providers and other tooling to support it. This means that in order to run -> spaCy on Python 3.8, you'll need [a compiler installed](#source) and compile -> the library and its Cython dependencies locally. If this is causing problems -> for you, the easiest solution is to **use Python 3.7** in the meantime. - ### pip Using pip, spaCy releases are available as source packages and binary wheels (as @@ -164,26 +154,26 @@ If you've trained your own models, keep in mind that your training and runtime inputs must match. After updating spaCy, we recommend **retraining your models** with the new version. -๐Ÿ“– **For details on upgrading from spaCy 1.x to spaCy 2.x, see the -[migration guide](https://spacy.io/usage/v2#migrating).** +๐Ÿ“– **For details on upgrading from spaCy 2.x to spaCy 3.x, see the +[migration guide](https://spacy.io/usage/v3#migrating).** ## Download models -As of v1.7.0, models for spaCy can be installed as **Python packages**. This +Trained pipelines for spaCy can be installed as **Python packages**. This means that they're a component of your application, just like any other module. Models can be installed using spaCy's `download` command, or manually by pointing pip to a path or URL. -| Documentation | | -| ---------------------- | ------------------------------------------------------------- | -| [Available Models] | Detailed model descriptions, accuracy figures and benchmarks. | -| [Models Documentation] | Detailed usage instructions. | +| Documentation | | +| ---------------------- | ---------------------------------------------------------------- | +| [Available Pipelines] | Detailed pipeline descriptions, accuracy figures and benchmarks. | +| [Models Documentation] | Detailed usage instructions. | -[available models]: https://spacy.io/models +[available pipelines]: https://spacy.io/models [models documentation]: https://spacy.io/docs/usage/models ```bash -# download best-matching version of specific model for your spaCy installation +# Download best-matching version of specific model for your spaCy installation python -m spacy download en_core_web_sm # pip install .tar.gz archive from path or URL