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+
+
+# spaCy: Industrial-strength NLP
+
+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 pipelines](https://spacy.io/models) and currently
+supports tokenization and training for **70+ languages**. It features
+state-of-the-art speed and **neural network models** for tagging, parsing,
+**named entity recognition**, **text classification** and more, multi-task
+learning with pretrained **transformers** like BERT, as well as a
+production-ready [**training system**](https://spacy.io/usage/training) and easy
+model packaging, deployment and workflow management. spaCy is commercial
+open-source software, released under the
+[MIT license](https://github.com/explosion/spaCy/blob/master/LICENSE).
+
+๐ซ **Version 3.8 out now!**
+[Check out the release notes here.](https://github.com/explosion/spaCy/releases)
+
+[](https://github.com/explosion/spaCy/actions/workflows/tests.yml)
+[](https://github.com/explosion/spaCy/releases)
+[](https://pypi.org/project/spacy/)
+[](https://anaconda.org/conda-forge/spacy)
+[](https://github.com/explosion/wheelwright/releases)
+[](https://github.com/ambv/black)
+
+[](https://pypi.org/project/spacy/)
+[](https://anaconda.org/conda-forge/spacy)
+
+## ๐ Documentation
+
+| Documentation | |
+| ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| โญ๏ธ **[spaCy 101]** | New to spaCy? Here's everything you need to know! |
+| ๐ **[Usage Guides]** | How to use spaCy and its features. |
+| ๐ **[New in v3.0]** | New features, backwards incompatibilities and migration guide. |
+| ๐ช **[Project Templates]** | End-to-end workflows you can clone, modify and run. |
+| ๐ **[API Reference]** | The detailed reference for spaCy's API. |
+| โฉ **[GPU Processing]** | Use spaCy with CUDA-compatible GPU processing. |
+| ๐ฆ **[Models]** | Download trained pipelines for spaCy. |
+| ๐ฆ **[Large Language Models]** | Integrate LLMs into spaCy pipelines. |
+| ๐ **[Universe]** | Plugins, extensions, demos and books from the spaCy ecosystem. |
+| โ๏ธ **[spaCy VS Code Extension]** | Additional tooling and features for working with spaCy's config files. |
+| ๐ฉโ๐ซ **[Online Course]** | Learn spaCy in this free and interactive online course. |
+| ๐ฐ **[Blog]** | Read about current spaCy and Prodigy development, releases, talks and more from Explosion. |
+| ๐บ **[Videos]** | Our YouTube channel with video tutorials, talks and more. |
+| ๐ด **[Live Stream]** | Join Matt as he works on spaCy and chat about NLP. |
+| ๐ **[Changelog]** | Changes and version history. |
+| ๐ **[Contribute]** | How to contribute to the spaCy project and code base. |
+| ๐ **[Swag]** | Support us and our work with unique, custom-designed swag! |
+|
| Custom NLP consulting, implementation and strategic advice by spaCyโs core development team. Streamlined, production-ready, predictable and maintainable. Send us an email or take our 5-minute questionnaire, and well'be in touch! **[Learn more →](https://explosion.ai/tailored-solutions)** |
+
+[spacy 101]: https://spacy.io/usage/spacy-101
+[new in v3.0]: https://spacy.io/usage/v3
+[usage guides]: https://spacy.io/usage/
+[api reference]: https://spacy.io/api/
+[gpu processing]: https://spacy.io/usage#gpu
+[models]: https://spacy.io/models
+[large language models]: https://spacy.io/usage/large-language-models
+[universe]: https://spacy.io/universe
+[spacy vs code extension]: https://github.com/explosion/spacy-vscode
+[videos]: https://www.youtube.com/c/ExplosionAI
+[live stream]: https://www.youtube.com/playlist?list=PLBmcuObd5An5_iAxNYLJa_xWmNzsYce8c
+[online course]: https://course.spacy.io
+[blog]: https://explosion.ai
+[project templates]: https://github.com/explosion/projects
+[changelog]: https://spacy.io/usage#changelog
+[contribute]: https://github.com/explosion/spaCy/blob/master/CONTRIBUTING.md
+[swag]: https://explosion.ai/merch
+
+## ๐ฌ Where to ask questions
+
+The spaCy project is maintained by the [spaCy team](https://explosion.ai/about).
+Please understand that we won't 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 |
+| ------------------------------- | --------------------------------------- |
+| ๐จ **Bug Reports** | [GitHub Issue Tracker] |
+| ๐ **Feature Requests & Ideas** | [GitHub Discussions] ยท [Live Stream] |
+| ๐ฉโ๐ป **Usage Questions** | [GitHub Discussions] ยท [Stack Overflow] |
+| ๐ฏ **General Discussion** | [GitHub Discussions] ยท [Live Stream] |
+
+[github issue tracker]: https://github.com/explosion/spaCy/issues
+[github discussions]: https://github.com/explosion/spaCy/discussions
+[stack overflow]: https://stackoverflow.com/questions/tagged/spacy
+[live stream]: https://www.youtube.com/playlist?list=PLBmcuObd5An5_iAxNYLJa_xWmNzsYce8c
+
+## Features
+
+- Support for **70+ languages**
+- **Trained pipelines** for different languages and tasks
+- Multi-task learning with pretrained **transformers** like BERT
+- Support for pretrained **word vectors** and embeddings
+- State-of-the-art speed
+- 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
+- Easy **model packaging**, deployment and workflow management
+- Robust, rigorously evaluated accuracy
+
+๐ **For more details, see the
+[facts, figures and benchmarks](https://spacy.io/usage/facts-figures).**
+
+## โณ Install spaCy
+
+For detailed installation instructions, see the
+[documentation](https://spacy.io/usage).
+
+- **Operating system**: macOS / OS X ยท Linux ยท Windows (Cygwin, MinGW, Visual
+ Studio)
+- **Python version**: Python >=3.7, <3.13 (only 64 bit)
+- **Package managers**: [pip] ยท [conda] (via `conda-forge`)
+
+[pip]: https://pypi.org/project/spacy/
+[conda]: https://anaconda.org/conda-forge/spacy
+
+### pip
+
+Using pip, spaCy releases are available as source packages and binary wheels.
+Before you install spaCy and its dependencies, make sure that your `pip`,
+`setuptools` and `wheel` are up to date.
+
+```bash
+pip install -U pip setuptools wheel
+pip install spacy
+```
+
+To install additional data tables for lemmatization and normalization you can
+run `pip install spacy[lookups]` or install
+[`spacy-lookups-data`](https://github.com/explosion/spacy-lookups-data)
+separately. The lookups package is needed to create blank models with
+lemmatization data, and to lemmatize in languages that don't yet come with
+pretrained models and aren't powered by third-party libraries.
+
+When using pip it is generally recommended to install packages in a virtual
+environment to avoid modifying system state:
+
+```bash
+python -m venv .env
+source .env/bin/activate
+pip install -U pip setuptools wheel
+pip install spacy
+```
+
+### conda
+
+You can also install spaCy from `conda` via the `conda-forge` channel. For the
+feedstock including the build recipe and configuration, check out
+[this repository](https://github.com/conda-forge/spacy-feedstock).
+
+```bash
+conda install -c conda-forge spacy
+```
+
+### Updating spaCy
+
+Some updates to spaCy may require downloading new statistical models. If you're
+running spaCy v2.0 or higher, you can use the `validate` command to check if
+your installed models are compatible and if not, print details on how to update
+them:
+
+```bash
+pip install -U spacy
+python -m spacy validate
+```
+
+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.
+
+๐ **For details on upgrading from spaCy 2.x to spaCy 3.x, see the
+[migration guide](https://spacy.io/usage/v3#migrating).**
+
+## ๐ฆ Download model packages
+
+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`](https://spacy.io/api/cli#download)
+command, or manually by pointing pip to a path or URL.
+
+| Documentation | |
+| -------------------------- | ---------------------------------------------------------------- |
+| **[Available Pipelines]** | Detailed pipeline descriptions, accuracy figures and benchmarks. |
+| **[Models Documentation]** | Detailed usage and installation instructions. |
+| **[Training]** | How to train your own pipelines on your data. |
+
+[available pipelines]: https://spacy.io/models
+[models documentation]: https://spacy.io/usage/models
+[training]: https://spacy.io/usage/training
+
+```bash
+# Download best-matching version of specific model for your spaCy installation
+python -m spacy download en_core_web_sm
+
+# pip install .tar.gz archive or .whl from path or URL
+pip install /Users/you/en_core_web_sm-3.0.0.tar.gz
+pip install /Users/you/en_core_web_sm-3.0.0-py3-none-any.whl
+pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.0.0/en_core_web_sm-3.0.0.tar.gz
+```
+
+### Loading and using models
+
+To load a model, use [`spacy.load()`](https://spacy.io/api/top-level#spacy.load)
+with the model name or a path to the model data directory.
+
+```python
+import spacy
+nlp = spacy.load("en_core_web_sm")
+doc = nlp("This is a sentence.")
+```
+
+You can also `import` a model directly via its full name and then call its
+`load()` method with no arguments.
+
+```python
+import spacy
+import en_core_web_sm
+
+nlp = en_core_web_sm.load()
+doc = nlp("This is a sentence.")
+```
+
+๐ **For more info and examples, check out the
+[models documentation](https://spacy.io/docs/usage/models).**
+
+## โ Compile from source
+
+The other way to install spaCy is to clone its
+[GitHub repository](https://github.com/explosion/spaCy) and build it from
+source. That is the common way if you want to make changes to the code base.
+You'll need to make sure that you have a development environment consisting of a
+Python distribution including header files, a compiler,
+[pip](https://pip.pypa.io/en/latest/installing/),
+[virtualenv](https://virtualenv.pypa.io/en/latest/) and
+[git](https://git-scm.com) installed. The compiler part is the trickiest. How to
+do that depends on your system.
+
+| Platform | |
+| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **Ubuntu** | Install system-level dependencies via `apt-get`: `sudo apt-get install build-essential python-dev git` . |
+| **Mac** | Install a recent version of [XCode](https://developer.apple.com/xcode/), including the so-called "Command Line Tools". macOS and OS X ship with Python and git preinstalled. |
+| **Windows** | Install a version of the [Visual C++ Build Tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/) or [Visual Studio Express](https://visualstudio.microsoft.com/vs/express/) that matches the version that was used to compile your Python interpreter. |
+
+For more details and instructions, see the documentation on
+[compiling spaCy from source](https://spacy.io/usage#source) and the
+[quickstart widget](https://spacy.io/usage#section-quickstart) to get the right
+commands for your platform and Python version.
+
+```bash
+git clone https://github.com/explosion/spaCy
+cd spaCy
+
+python -m venv .env
+source .env/bin/activate
+
+# make sure you are using the latest pip
+python -m pip install -U pip setuptools wheel
+
+pip install -r requirements.txt
+pip install --no-build-isolation --editable .
+```
+
+To install with extras:
+
+```bash
+pip install --no-build-isolation --editable .[lookups,cuda102]
+```
+
+## ๐ฆ Run tests
+
+spaCy comes with an [extensive test suite](spacy/tests). In order to run the
+tests, you'll usually want to clone the repository and build spaCy from source.
+This will also install the required development dependencies and test utilities
+defined in the [`requirements.txt`](requirements.txt).
+
+Alternatively, you can run `pytest` on the tests from within the installed
+`spacy` package. Don't forget to also install the test utilities via spaCy's
+[`requirements.txt`](requirements.txt):
+
+```bash
+pip install -r requirements.txt
+python -m pytest --pyargs spacy
+```