mirror of
https://github.com/explosion/spaCy.git
synced 2025-11-04 09:57:26 +03:00
Update install docs and quickstarts [ci skip]
This commit is contained in:
Ines Montani
parent
52e4586ec1
commit
eb9b3ff9c5
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@ -8,10 +8,7 @@ menu:
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- ['Changelog', 'changelog']
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---
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spaCy is compatible with **64-bit CPython 3.6+** and runs on **Unix/Linux**,
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**macOS/OS X** and **Windows**. The latest spaCy releases are available over
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[pip](https://pypi.python.org/pypi/spacy) and
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[conda](https://anaconda.org/conda-forge/spacy).
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## Quickstart {hidden="true"}
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> #### 📖 Looking for the old docs?
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>
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@ -19,21 +16,22 @@ spaCy is compatible with **64-bit CPython 3.6+** and runs on **Unix/Linux**,
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> website to [**v2.spacy.io**](https://v2.spacy.io/docs). To see what's changed
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> and how to migrate, see the guide on [v3.0 guide](/usage/v3).
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## Quickstart {hidden="true"}
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import QuickstartInstall from 'widgets/quickstart-install.js'
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<QuickstartInstall title="Quickstart" id="quickstart" />
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<QuickstartInstall id="quickstart" />
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## Installation instructions {#installation}
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spaCy is compatible with **64-bit CPython 3.6+** and runs on **Unix/Linux**,
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**macOS/OS X** and **Windows**. The latest spaCy releases are available over
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[pip](https://pypi.python.org/pypi/spacy) and
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[conda](https://anaconda.org/conda-forge/spacy).
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### pip {#pip}
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Using pip, spaCy releases are available as source packages and binary wheels.
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```bash
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$ pip install -U spacy
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```
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Before you install spaCy and its dependencies, make sure that your `pip`,
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`setuptools` and `wheel` are up to date.
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> #### Download pipelines
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>
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@ -47,16 +45,10 @@ $ pip install -U spacy
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> >>> nlp = spacy.load("en_core_web_sm")
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> ```
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<Infobox variant="warning">
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To install additional data tables for lemmatization you can run
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`pip install spacy[lookups]` or install
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[`spacy-lookups-data`](https://github.com/explosion/spacy-lookups-data)
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separately. The lookups package is needed to provide normalization and
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lemmatization data for new models and to lemmatize in languages that don't yet
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come with trained pipelines and aren't powered by third-party libraries.
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</Infobox>
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```bash
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$ pip install -U pip setuptools wheel
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$ pip install -U spacy
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```
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When using pip it is generally recommended to install packages in a virtual
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environment to avoid modifying system state:
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@ -64,9 +56,28 @@ environment to avoid modifying system state:
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```bash
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$ python -m venv .env
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$ source .env/bin/activate
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$ pip install -U pip setuptools wheel
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$ pip install spacy
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```
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spaCy also lets you install extra dependencies by specifying the following
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keywords in brackets, e.g. `spacy[ja]` or `spacy[lookups,transformers]` (with
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multiple comma-separated extras). See the `[options.extras_require]` section in
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spaCy's [`setup.cfg`](%%GITHUB_SPACY/setup.cfg) for details on what's included.
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> #### Example
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>
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> ```bash
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> $ pip install spacy[lookups,transformers]
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> ```
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| Name | Description |
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| ---------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `lookups` | Install [`spacy-lookups-data`](https://github.com/explosion/spacy-lookups-data) for data tables for lemmatization and lexeme normalization. The data is serialized with trained pipelines, so you only need this package if you want to train your own models. |
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| `transformers` | Install [`spacy-transformers`](https://github.com/explosion/spacy-transformers). The package will be installed automatically when you install a transformer-based pipeline. |
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| `cuda`, ... | Install spaCy with GPU support provided by [CuPy](https://cupy.chainer.org) for your given CUDA version. See the GPU [installation instructions](#gpu) for details and options. |
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| `ja`, `ko`, `th` | Install additional dependencies required for tokenization for the [languages](/usage/models#languages). |
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### conda {#conda}
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Thanks to our great community, we've been able to re-add conda support. You can
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@ -112,10 +123,9 @@ $ python -m spacy validate
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### Run spaCy with GPU {#gpu new="2.0.14"}
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As of v2.0, spaCy comes with neural network models that are implemented in our
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machine learning library, [Thinc](https://github.com/explosion/thinc). For GPU
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support, we've been grateful to use the work of Chainer's
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[CuPy](https://cupy.chainer.org) module, which provides a numpy-compatible
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interface for GPU arrays.
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machine learning library, [Thinc](https://thinc.ai). For GPU support, we've been
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grateful to use the work of Chainer's [CuPy](https://cupy.chainer.org) module,
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which provides a numpy-compatible interface for GPU arrays.
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spaCy can be installed on GPU by specifying `spacy[cuda]`, `spacy[cuda90]`,
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`spacy[cuda91]`, `spacy[cuda92]`, `spacy[cuda100]`, `spacy[cuda101]` or
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|
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@ -24,6 +24,7 @@ const Quickstart = ({
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rawContent = null,
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id = 'quickstart',
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setters = {},
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showDropdown = {},
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hidePrompts,
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small,
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codeLang,
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@ -107,6 +108,8 @@ const Quickstart = ({
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}) => {
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// Optional function that's called with the value
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const setterFunc = setters[id] || (() => {})
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// Check if dropdown should be shown
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const dropdownGetter = showDropdown[id] || (() => true)
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return (
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<div key={id} data-quickstart-group={id} className={classes.group}>
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<style data-quickstart-style={id} scoped>
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@ -123,37 +126,6 @@ const Quickstart = ({
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)}
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</div>
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<div className={classes.fields}>
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{!!dropdown.length && (
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<select
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defaultValue={defaultValue}
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className={classes.select}
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onChange={({ target }) => {
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const value = target.value
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if (value != other) {
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setterFunc(value)
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setOther(id, false)
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} else {
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setterFunc('')
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setOther(id, true)
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}
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}}
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>
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{dropdown.map(({ id, title }) => (
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<option key={id} value={id}>
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{title}
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</option>
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))}
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{other && <option value={other}>{other}</option>}
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</select>
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)}
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{other && otherState[id] && (
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<input
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type="text"
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className={classes.textInput}
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placeholder="Type here..."
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onChange={({ target }) => setterFunc(target.value)}
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/>
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)}
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{options.map(option => {
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const optionType = multiple ? 'checkbox' : 'radio'
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const checkedForId = checked[id] || []
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@ -179,7 +151,10 @@ const Quickstart = ({
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type={optionType}
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className={classNames(
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classes.input,
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classes[optionType]
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classes[optionType],
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{
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[classes.long]: options.length >= 4,
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}
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)}
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name={id}
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id={`quickstart-${option.id}`}
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@ -209,6 +184,41 @@ const Quickstart = ({
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</Fragment>
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)
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})}
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<span className={classes.fieldExtra}>
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{!!dropdown.length && (
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<select
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defaultValue={defaultValue}
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className={classNames(classes.select, {
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[classes.selectHidden]: !dropdownGetter(),
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})}
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onChange={({ target }) => {
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const value = target.value
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if (value != other) {
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setterFunc(value)
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setOther(id, false)
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} else {
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setterFunc('')
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setOther(id, true)
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}
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}}
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>
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{dropdown.map(({ id, title }) => (
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<option key={id} value={id}>
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{title}
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</option>
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))}
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{other && <option value={other}>{other}</option>}
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</select>
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)}
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{other && otherState[id] && (
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<input
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type="text"
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className={classes.textInput}
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placeholder="Type here..."
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onChange={({ target }) => setterFunc(target.value)}
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/>
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)}
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</span>
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</div>
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</div>
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)
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|
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@ -36,22 +36,37 @@
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.label
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cursor: pointer
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border: 1px solid var(--color-subtle)
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border-radius: var(--border-radius)
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display: inline-block
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padding: 0.65rem 1.25rem
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margin: 0 0.5rem 0.75rem 0
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padding: 0.35rem 0.5rem 0.25rem 0
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margin: 0 1rem 0.75rem 0
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font-size: var(--font-size-xs)
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font-weight: bold
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background: var(--color-back)
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&:hover
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background: var(--color-subtle-light)
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.input:focus + &
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.input:focus +
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border: 1px solid var(--color-theme)
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outline: none
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.radio + &
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margin: 0 0 0.75rem 0
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border-radius: 0
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border-width: 1px 0 1px 1px
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border-style: solid
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border-color: var(--color-subtle)
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background: var(--color-back)
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padding: 0.65rem 1.25rem
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&:nth-child(2) // first child is checkbox
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border-top-left-radius: var(--border-radius)
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border-bottom-left-radius: var(--border-radius)
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&:nth-last-child(2) // last child is additional container
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border-top-right-radius: var(--border-radius)
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border-bottom-right-radius: var(--border-radius)
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border-right-width: 1px
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.radio:checked + &
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color: var(--color-back)
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border-color: var(--color-theme)
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@ -64,9 +79,10 @@
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height: 20px
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border: 1px solid var(--color-subtle)
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vertical-align: middle
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margin-right: 1rem
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margin-right: 0.5rem
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cursor: pointer
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border-radius: var(--border-radius)
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background: var(--color-back)
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.checkbox:checked + &:before
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// Embed "check" icon here for simplicity
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@ -74,6 +90,9 @@
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background-size: contain
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border-color: var(--color-theme)
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.field-extra:not(:empty):not(:first-child)
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margin-left: 1rem
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.legend
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color: var(--color-dark)
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padding: 0.75rem 0
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|
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@ -93,6 +112,9 @@
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font-size: var(--font-size-sm)
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background: var(--color-back)
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.select-hidden
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display: none
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.text-input
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border: 1px solid var(--color-subtle)
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border-radius: var(--border-radius)
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|
|
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@ -1,9 +1,20 @@
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import React from 'react'
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import React, { useState } from 'react'
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import { StaticQuery, graphql } from 'gatsby'
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import { Quickstart, QS } from '../components/quickstart'
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import { repo } from '../components/util'
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const DEFAULT_HARDWARE = 'cpu'
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const DEFAULT_CUDA = 'cuda100'
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const CUDA = {
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'8.0': 'cuda80',
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'9.0': 'cuda90',
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'9.1': 'cuda91',
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'9.2': 'cuda92',
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'10.0': 'cuda100',
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'10.1': 'cuda101',
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'10.2': 'cuda102',
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}
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const DATA = [
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{
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id: 'os',
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@ -23,6 +34,16 @@ const DATA = [
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{ id: 'source', title: 'from source' },
|
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],
|
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},
|
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{
|
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id: 'hardware',
|
||||
title: 'Hardware',
|
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options: [
|
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{ id: 'cpu', title: 'CPU', checked: DEFAULT_HARDWARE === 'cpu' },
|
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{ id: 'gpu', title: 'GPU', checked: DEFAULT_HARDWARE == 'gpu' },
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],
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dropdown: Object.keys(CUDA).map(id => ({ id: CUDA[id], title: `CUDA ${id}` })),
|
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defaultValue: DEFAULT_CUDA,
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},
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{
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id: 'config',
|
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title: 'Configuration',
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@ -30,100 +51,115 @@ const DATA = [
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options: [
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{
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id: 'venv',
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title: 'virtualenv',
|
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title: 'virtual env',
|
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help: 'Use a virtual environment and install spaCy into a user directory',
|
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},
|
||||
],
|
||||
},
|
||||
{
|
||||
id: 'addition',
|
||||
title: 'Additions',
|
||||
multiple: true,
|
||||
options: [
|
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{
|
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id: 'transformers',
|
||||
title: 'Transformers',
|
||||
help: 'Use transformers like BERT to train your spaCy pipelines',
|
||||
},
|
||||
{
|
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id: 'lookups',
|
||||
title: 'Lemmatizer data',
|
||||
help: 'Install additional lookup tables and rules for lemmatization',
|
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id: 'train',
|
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title: 'train models',
|
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help:
|
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'Check this if you plan to train your own models with spaCy to install extra dependencies and data resources',
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||||
},
|
||||
],
|
||||
},
|
||||
]
|
||||
|
||||
const QuickstartInstall = ({ id, title }) => (
|
||||
<StaticQuery
|
||||
query={query}
|
||||
render={({ site }) => {
|
||||
const { nightly, languages } = site.siteMetadata
|
||||
const models = languages.filter(({ models }) => models !== null)
|
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const data = [
|
||||
...DATA,
|
||||
{
|
||||
id: 'models',
|
||||
title: 'Trained Pipelines',
|
||||
multiple: true,
|
||||
options: models.map(({ code, name }) => ({ id: code, title: name })),
|
||||
},
|
||||
]
|
||||
return (
|
||||
<Quickstart data={data} title={title} id={id}>
|
||||
<QS config="venv">python -m venv .env</QS>
|
||||
<QS config="venv" os="mac">
|
||||
source .env/bin/activate
|
||||
</QS>
|
||||
<QS config="venv" os="linux">
|
||||
source .env/bin/activate
|
||||
</QS>
|
||||
<QS config="venv" os="windows">
|
||||
.env\Scripts\activate
|
||||
</QS>
|
||||
<QS package="pip">pip install -U spacy</QS>
|
||||
<QS package="conda">conda install -c conda-forge spacy</QS>
|
||||
<QS package="source">
|
||||
git clone https://github.com/{repo}
|
||||
{nightly ? ` --branch develop` : ''}
|
||||
</QS>
|
||||
<QS package="source">cd spaCy</QS>
|
||||
<QS package="source" os="linux">
|
||||
export PYTHONPATH=`pwd`
|
||||
</QS>
|
||||
<QS package="source" os="windows">
|
||||
set PYTHONPATH=C:\path\to\spaCy
|
||||
</QS>
|
||||
<QS package="source">pip install -r requirements.txt</QS>
|
||||
<QS addition="transformers" package="pip">
|
||||
pip install -U spacy-transformers
|
||||
</QS>
|
||||
<QS addition="transformers" package="source">
|
||||
pip install -U spacy-transformers
|
||||
</QS>
|
||||
<QS addition="transformers" package="conda">
|
||||
conda install -c conda-forge spacy-transformers
|
||||
</QS>
|
||||
<QS addition="lookups" package="pip">
|
||||
pip install -U spacy-lookups-data
|
||||
</QS>
|
||||
<QS addition="lookups" package="source">
|
||||
pip install -U spacy-lookups-data
|
||||
</QS>
|
||||
<QS addition="lookups" package="conda">
|
||||
conda install -c conda-forge spacy-lookups-data
|
||||
</QS>
|
||||
<QS package="source">python setup.py build_ext --inplace</QS>
|
||||
{models.map(({ code, models: modelOptions }) => (
|
||||
<QS models={code} key={code}>
|
||||
python -m spacy download {modelOptions[0]}
|
||||
const QuickstartInstall = ({ id, title }) => {
|
||||
const [train, setTrain] = useState(false)
|
||||
const [hardware, setHardware] = useState(DEFAULT_HARDWARE)
|
||||
const [cuda, setCuda] = useState(DEFAULT_CUDA)
|
||||
const setters = {
|
||||
hardware: v => (Array.isArray(v) ? setHardware(v[0]) : setCuda(v)),
|
||||
config: v => setTrain(v.includes('train')),
|
||||
}
|
||||
const showDropdown = {
|
||||
hardware: () => hardware === 'gpu',
|
||||
}
|
||||
const pipExtras = [hardware === 'gpu' && cuda, train && 'transformers', train && 'lookups']
|
||||
.filter(e => e)
|
||||
.join(',')
|
||||
return (
|
||||
<StaticQuery
|
||||
query={query}
|
||||
render={({ site }) => {
|
||||
const { nightly, languages } = site.siteMetadata
|
||||
const pkg = nightly ? 'spacy-nightly' : 'spacy'
|
||||
const models = languages.filter(({ models }) => models !== null)
|
||||
const data = [
|
||||
...DATA,
|
||||
{
|
||||
id: 'models',
|
||||
title: 'Trained Pipelines',
|
||||
multiple: true,
|
||||
options: models
|
||||
.sort((a, b) => a.name.localeCompare(b.name))
|
||||
.map(({ code, name }) => ({ id: code, title: name })),
|
||||
},
|
||||
]
|
||||
return (
|
||||
<Quickstart
|
||||
data={data}
|
||||
title={title}
|
||||
id={id}
|
||||
setters={setters}
|
||||
showDropdown={showDropdown}
|
||||
>
|
||||
<QS config="venv">python -m venv .env</QS>
|
||||
<QS config="venv" os="mac">
|
||||
source .env/bin/activate
|
||||
</QS>
|
||||
))}
|
||||
</Quickstart>
|
||||
)
|
||||
}}
|
||||
/>
|
||||
)
|
||||
<QS config="venv" os="linux">
|
||||
source .env/bin/activate
|
||||
</QS>
|
||||
<QS config="venv" os="windows">
|
||||
.env\Scripts\activate
|
||||
</QS>
|
||||
<QS package="pip">pip install -U pip setuptools wheel</QS>
|
||||
<QS package="source">pip install -U pip setuptools wheel</QS>
|
||||
<QS package="pip">
|
||||
pip install -U {pkg}
|
||||
{pipExtras && `[${pipExtras}]`}
|
||||
{nightly ? ' --pre' : ''}
|
||||
</QS>
|
||||
<QS package="conda">conda install -c conda-forge spacy</QS>
|
||||
<QS package="conda" hardware="gpu">
|
||||
conda install -c conda-forge cupy
|
||||
</QS>
|
||||
<QS package="source">
|
||||
git clone https://github.com/{repo}
|
||||
{nightly ? ` --branch develop` : ''}
|
||||
</QS>
|
||||
<QS package="source">cd spaCy</QS>
|
||||
<QS package="source" os="linux">
|
||||
export PYTHONPATH=`pwd`
|
||||
</QS>
|
||||
<QS package="source" os="windows">
|
||||
set PYTHONPATH=C:\path\to\spaCy
|
||||
</QS>
|
||||
<QS package="source">pip install -r requirements.txt</QS>
|
||||
<QS package="source">python setup.py build_ext --inplace</QS>
|
||||
<QS package="source" config="train">
|
||||
pip install -e '.[{pipExtras}]'
|
||||
</QS>
|
||||
|
||||
<QS config="train" package="conda">
|
||||
conda install -c conda-forge spacy-transformers
|
||||
</QS>
|
||||
<QS config="train" package="conda">
|
||||
conda install -c conda-forge spacy-lookups-data
|
||||
</QS>
|
||||
|
||||
{models.map(({ code, models: modelOptions }) => (
|
||||
<QS models={code} key={code}>
|
||||
python -m spacy download {modelOptions[0]}
|
||||
</QS>
|
||||
))}
|
||||
</Quickstart>
|
||||
)
|
||||
}}
|
||||
/>
|
||||
)
|
||||
}
|
||||
|
||||
export default QuickstartInstall
|
||||
|
||||
|
|
|
|||
|
|
@ -1,12 +1,16 @@
|
|||
import React, { Fragment } from 'react'
|
||||
import React, { Fragment, useState } from 'react'
|
||||
import { StaticQuery, graphql } from 'gatsby'
|
||||
|
||||
import { Quickstart, QS } from '../components/quickstart'
|
||||
|
||||
const DEFAULT_LANG = 'en'
|
||||
const DEFAULT_OPT = 'efficiency'
|
||||
|
||||
const data = [
|
||||
{
|
||||
id: 'lang',
|
||||
title: 'Language',
|
||||
defaultValue: DEFAULT_LANG,
|
||||
},
|
||||
{
|
||||
id: 'load',
|
||||
|
|
@ -25,6 +29,16 @@ const data = [
|
|||
},
|
||||
],
|
||||
},
|
||||
{
|
||||
id: 'optimize',
|
||||
title: 'Optimize for',
|
||||
help:
|
||||
'Optimize for efficiency (faster & smaller model) or higher accuracy (larger & slower model)',
|
||||
options: [
|
||||
{ id: 'efficiency', title: 'efficiency', checked: DEFAULT_OPT === 'efficiency' },
|
||||
{ id: 'accuracy', title: 'accuracy', checked: DEFAULT_OPT === 'accuracy' },
|
||||
],
|
||||
},
|
||||
{
|
||||
id: 'config',
|
||||
title: 'Options',
|
||||
|
|
@ -33,57 +47,73 @@ const data = [
|
|||
},
|
||||
]
|
||||
|
||||
const QuickstartInstall = ({ id, title, description, defaultLang = 'en', children }) => (
|
||||
<StaticQuery
|
||||
query={query}
|
||||
render={({ site }) => {
|
||||
const models = site.siteMetadata.languages.filter(({ models }) => models !== null)
|
||||
data[0].options = models.map(({ code, name }) => ({
|
||||
id: code,
|
||||
title: name,
|
||||
checked: code === defaultLang,
|
||||
}))
|
||||
return (
|
||||
<Quickstart data={data} title={title} id={id} description={description}>
|
||||
{models.map(({ code, models, example }) => {
|
||||
const pkg = models[0]
|
||||
const exampleText = example || 'No text available yet'
|
||||
return (
|
||||
<Fragment key={code}>
|
||||
<QS lang={code}>python -m spacy download {pkg}</QS>
|
||||
<QS lang={code} divider />
|
||||
<QS lang={code} load="spacy" prompt="python">
|
||||
import spacy
|
||||
</QS>
|
||||
<QS lang={code} load="spacy" prompt="python">
|
||||
nlp = spacy.load("{pkg}")
|
||||
</QS>
|
||||
<QS lang={code} load="module" prompt="python">
|
||||
import {pkg}
|
||||
</QS>
|
||||
<QS lang={code} load="module" prompt="python">
|
||||
nlp = {pkg}.load()
|
||||
</QS>
|
||||
<QS lang={code} config="example" prompt="python">
|
||||
doc = nlp("{exampleText}")
|
||||
</QS>
|
||||
<QS lang={code} config="example" prompt="python">
|
||||
print([
|
||||
{code === 'xx'
|
||||
? '(ent.text, ent.label) for ent in doc.ents'
|
||||
: '(w.text, w.pos_) for w in doc'}
|
||||
])
|
||||
</QS>
|
||||
</Fragment>
|
||||
)
|
||||
})}
|
||||
const QuickstartInstall = ({ id, title, description, children }) => {
|
||||
const [lang, setLang] = useState(DEFAULT_LANG)
|
||||
const [efficiency, setEfficiency] = useState(DEFAULT_OPT)
|
||||
const setters = {
|
||||
lang: setLang,
|
||||
optimize: v => setEfficiency(v.includes('efficiency')),
|
||||
}
|
||||
return (
|
||||
<StaticQuery
|
||||
query={query}
|
||||
render={({ site }) => {
|
||||
const models = site.siteMetadata.languages.filter(({ models }) => models !== null)
|
||||
data[0].dropdown = models
|
||||
.sort((a, b) => a.name.localeCompare(b.name))
|
||||
.map(({ code, name }) => ({
|
||||
id: code,
|
||||
title: name,
|
||||
}))
|
||||
return (
|
||||
<Quickstart
|
||||
data={data}
|
||||
title={title}
|
||||
id={id}
|
||||
description={description}
|
||||
setters={setters}
|
||||
copy={false}
|
||||
>
|
||||
{models.map(({ code, models, example }) => {
|
||||
const pkg = efficiency ? models[0] : models[models.length - 1]
|
||||
const exampleText = example || 'No text available yet'
|
||||
return lang !== code ? null : (
|
||||
<Fragment key={code}>
|
||||
<QS>python -m spacy download {pkg}</QS>
|
||||
<QS divider />
|
||||
<QS load="spacy" prompt="python">
|
||||
import spacy
|
||||
</QS>
|
||||
<QS load="spacy" prompt="python">
|
||||
nlp = spacy.load("{pkg}")
|
||||
</QS>
|
||||
<QS load="module" prompt="python">
|
||||
import {pkg}
|
||||
</QS>
|
||||
<QS load="module" prompt="python">
|
||||
nlp = {pkg}.load()
|
||||
</QS>
|
||||
<QS config="example" prompt="python">
|
||||
doc = nlp("{exampleText}")
|
||||
</QS>
|
||||
<QS config="example" prompt="python">
|
||||
print([
|
||||
{code === 'xx'
|
||||
? '(ent.text, ent.label) for ent in doc.ents'
|
||||
: '(w.text, w.pos_) for w in doc'}
|
||||
])
|
||||
</QS>
|
||||
</Fragment>
|
||||
)
|
||||
})}
|
||||
|
||||
{children}
|
||||
</Quickstart>
|
||||
)
|
||||
}}
|
||||
/>
|
||||
)
|
||||
{children}
|
||||
</Quickstart>
|
||||
)
|
||||
}}
|
||||
/>
|
||||
)
|
||||
}
|
||||
|
||||
export default QuickstartInstall
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user