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README.md
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README.md
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@ -6,7 +6,7 @@ spaCy is a library for advanced Natural Language Processing in Python and
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Cython. It's built on the very latest research, and was designed from day one
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Cython. It's built on the very latest research, and was designed from day one
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to be used in real products. spaCy comes with
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to be used in real products. spaCy comes with
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[pre-trained statistical models](https://spacy.io/models) and word vectors, and
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[pre-trained statistical models](https://spacy.io/models) and word vectors, and
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currently supports tokenization for **30+ languages**. It features the
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currently supports tokenization for **45+ languages**. It features the
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**fastest syntactic parser** in the world, convolutional
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**fastest syntactic parser** in the world, convolutional
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**neural network models** for tagging, parsing and **named entity recognition**
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**neural network models** for tagging, parsing and **named entity recognition**
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and easy **deep learning** integration. It's commercial open-source software,
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and easy **deep learning** integration. It's commercial open-source software,
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@ -20,29 +20,30 @@ released under the MIT license.
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[![pypi Version](https://img.shields.io/pypi/v/spacy.svg?style=flat-square)](https://pypi.python.org/pypi/spacy)
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[![pypi Version](https://img.shields.io/pypi/v/spacy.svg?style=flat-square)](https://pypi.python.org/pypi/spacy)
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[![conda Version](https://img.shields.io/conda/vn/conda-forge/spacy.svg?style=flat-square)](https://anaconda.org/conda-forge/spacy)
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[![conda Version](https://img.shields.io/conda/vn/conda-forge/spacy.svg?style=flat-square)](https://anaconda.org/conda-forge/spacy)
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[![Python wheels](https://img.shields.io/badge/wheels-%E2%9C%93-4c1.svg?longCache=true&style=flat-square&logo=python&logoColor=white)](https://github.com/explosion/wheelwright/releases)
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[![Python wheels](https://img.shields.io/badge/wheels-%E2%9C%93-4c1.svg?longCache=true&style=flat-square&logo=python&logoColor=white)](https://github.com/explosion/wheelwright/releases)
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[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/ambv/black)
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[![spaCy on Twitter](https://img.shields.io/twitter/follow/spacy_io.svg?style=social&label=Follow)](https://twitter.com/spacy_io)
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[![spaCy on Twitter](https://img.shields.io/twitter/follow/spacy_io.svg?style=social&label=Follow)](https://twitter.com/spacy_io)
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## 📖 Documentation
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## 📖 Documentation
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| Documentation | |
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| Documentation | |
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| --- | --- |
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| --------------- | -------------------------------------------------------------- |
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| [spaCy 101] | New to spaCy? Here's everything you need to know!
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| [spaCy 101] | New to spaCy? Here's everything you need to know! |
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| [Usage Guides] | How to use spaCy and its features. |
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| [Usage Guides] | How to use spaCy and its features. |
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| [New in v2.0] | New features, backwards incompatibilities and migration guide. |
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| [New in v2.1] | New features, backwards incompatibilities and migration guide. |
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| [API Reference] | The detailed reference for spaCy's API. |
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| [API Reference] | The detailed reference for spaCy's API. |
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| [Models] | Download statistical language models for spaCy. |
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| [Models] | Download statistical language models for spaCy. |
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| [Universe] | Libraries, extensions, demos, books and courses. |
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| [Universe] | Libraries, extensions, demos, books and courses. |
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| [Changelog] | Changes and version history. |
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| [Changelog] | Changes and version history. |
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| [Contribute] | How to contribute to the spaCy project and code base. |
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| [Contribute] | How to contribute to the spaCy project and code base. |
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[spaCy 101]: https://spacy.io/usage/spacy-101
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[spacy 101]: https://spacy.io/usage/spacy-101
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[New in v2.0]: https://spacy.io/usage/v2#migrating
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[new in v2.1]: https://spacy.io/usage/v2-1
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[Usage Guides]: https://spacy.io/usage/
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[usage guides]: https://spacy.io/usage/
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[API Reference]: https://spacy.io/api/
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[api reference]: https://spacy.io/api/
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[Models]: https://spacy.io/models
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[models]: https://spacy.io/models
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[Universe]: https://spacy.io/universe
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[universe]: https://spacy.io/universe
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[Changelog]: https://spacy.io/usage/#changelog
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[changelog]: https://spacy.io/usage/#changelog
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[Contribute]: https://github.com/explosion/spaCy/blob/master/CONTRIBUTING.md
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[contribute]: https://github.com/explosion/spaCy/blob/master/CONTRIBUTING.md
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## 💬 Where to ask questions
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## 💬 Where to ask questions
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@ -51,35 +52,38 @@ and [@ines](https://github.com/ines). Please understand that we won't be able
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to provide individual support via email. We also believe that help is much more
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to provide individual support via email. We also believe that help is much more
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valuable if it's shared publicly, so that more people can benefit from it.
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valuable if it's shared publicly, so that more people can benefit from it.
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* **Bug Reports**: [GitHub Issue Tracker]
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| Type | Platforms |
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* **Usage Questions**: [Stack Overflow] · [Gitter Chat] · [Reddit User Group]
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| ------------------------ | ------------------------------------------------------ |
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* **General Discussion**: [Gitter Chat] · [Reddit User Group]
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| 🚨**Bug Reports** | [GitHub Issue Tracker] |
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| 🎁 **Feature Requests** | [GitHub Issue Tracker] |
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| 👩💻**Usage Questions** | [Stack Overflow] · [Gitter Chat] · [Reddit User Group] |
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| 🗯 **General Discussion** | [Gitter Chat] · [Reddit User Group] |
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[GitHub Issue Tracker]: https://github.com/explosion/spaCy/issues
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[github issue tracker]: https://github.com/explosion/spaCy/issues
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[Stack Overflow]: http://stackoverflow.com/questions/tagged/spacy
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[stack overflow]: http://stackoverflow.com/questions/tagged/spacy
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[Gitter Chat]: https://gitter.im/explosion/spaCy
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[gitter chat]: https://gitter.im/explosion/spaCy
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[Reddit User Group]: https://www.reddit.com/r/spacynlp
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[reddit user group]: https://www.reddit.com/r/spacynlp
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## Features
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## Features
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* **Fastest syntactic parser** in the world
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- **Fastest syntactic parser** in the world
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* **Named entity** recognition
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- **Named entity** recognition
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* Non-destructive **tokenization**
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- Non-destructive **tokenization**
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* Support for **30+ languages**
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- Support for **45+ languages**
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* Pre-trained [statistical models](https://spacy.io/models) and word vectors
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- Pre-trained [statistical models](https://spacy.io/models) and word vectors
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* Easy **deep learning** integration
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- Easy **deep learning** integration
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* Part-of-speech tagging
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- Part-of-speech tagging
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* Labelled dependency parsing
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- Labelled dependency parsing
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* Syntax-driven sentence segmentation
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- Syntax-driven sentence segmentation
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* Built in **visualizers** for syntax and NER
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- Built in **visualizers** for syntax and NER
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* Convenient string-to-hash mapping
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- Convenient string-to-hash mapping
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* Export to numpy data arrays
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- Export to numpy data arrays
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* Efficient binary serialization
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- Efficient binary serialization
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* Easy **model packaging** and deployment
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- Easy **model packaging** and deployment
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* State-of-the-art speed
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- State-of-the-art speed
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* Robust, rigorously evaluated accuracy
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- Robust, rigorously evaluated accuracy
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📖 **For more details, see the
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📖 **For more details, see the
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[facts, figures and benchmarks](https://spacy.io/usage/facts-figures).**
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[facts, figures and benchmarks](https://spacy.io/usage/facts-figures).**
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## Install spaCy
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## Install spaCy
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@ -87,9 +91,9 @@ valuable if it's shared publicly, so that more people can benefit from it.
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For detailed installation instructions, see the
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For detailed installation instructions, see the
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[documentation](https://spacy.io/usage).
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[documentation](https://spacy.io/usage).
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* **Operating system**: macOS / OS X · Linux · Windows (Cygwin, MinGW, Visual Studio)
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- **Operating system**: macOS / OS X · Linux · Windows (Cygwin, MinGW, Visual Studio)
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* **Python version**: Python 2.7, 3.4+ (only 64 bit)
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- **Python version**: Python 2.7, 3.4+ (only 64 bit)
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* **Package managers**: [pip] · [conda] (via `conda-forge`)
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- **Package managers**: [pip] · [conda] (via `conda-forge`)
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[pip]: https://pypi.python.org/pypi/spacy
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[pip]: https://pypi.python.org/pypi/spacy
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[conda]: https://anaconda.org/conda-forge/spacy
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[conda]: https://anaconda.org/conda-forge/spacy
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@ -142,7 +146,7 @@ If you've trained your own models, keep in mind that your training and runtime
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inputs must match. After updating spaCy, we recommend **retraining your models**
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inputs must match. After updating spaCy, we recommend **retraining your models**
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with the new version.
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with the new version.
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📖 **For details on upgrading from spaCy 1.x to spaCy 2.x, see the
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📖 **For details on upgrading from spaCy 1.x to spaCy 2.x, see the
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[migration guide](https://spacy.io/usage/v2#migrating).**
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[migration guide](https://spacy.io/usage/v2#migrating).**
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## Download models
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## Download models
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other module. Models can be installed using spaCy's `download` command,
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other module. Models can be installed using spaCy's `download` command,
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or manually by pointing pip to a path or URL.
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or manually by pointing pip to a path or URL.
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| Documentation | |
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| Documentation | |
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| --- | --- |
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| [Available Models] | Detailed model descriptions, accuracy figures and benchmarks. |
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| [Available Models] | Detailed model descriptions, accuracy figures and benchmarks. |
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| [Models Documentation] | Detailed usage instructions. |
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| [Models Documentation] | Detailed usage instructions. |
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[Available Models]: https://spacy.io/models
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[available models]: https://spacy.io/models
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[Models Documentation]: https://spacy.io/docs/usage/models
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[models documentation]: https://spacy.io/docs/usage/models
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```bash
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```bash
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# out-of-the-box: download best-matching default model
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# out-of-the-box: download best-matching default model
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## Run tests
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## Run tests
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spaCy comes with an [extensive test suite](spacy/tests). In order to run the
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spaCy comes with an [extensive test suite](spacy/tests). In order to run the
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tests, you'll usually want to clone the repository and build spaCy from source.
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tests, you'll usually want to clone the repository and build spaCy from source.
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This will also install the required development dependencies and test utilities
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This will also install the required development dependencies and test utilities
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defined in the `requirements.txt`.
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defined in the `requirements.txt`.
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