mirror of
https://github.com/explosion/spaCy.git
synced 2025-08-05 04:40:20 +03:00
Fix ESLint react/no-unescaped-entities
This commit is contained in:
parent
e1500260dd
commit
e5a4b39cb0
|
@ -112,7 +112,7 @@ const AlertSpace = ({ nightly, legacy }) => {
|
|||
)}
|
||||
{!isOnline && (
|
||||
<Alert title="Looks like you're offline." icon="offline" variant="warning">
|
||||
But don't worry, your visited pages should be saved for you.
|
||||
But don't worry, your visited pages should be saved for you.
|
||||
</Alert>
|
||||
)}
|
||||
</>
|
||||
|
|
|
@ -123,9 +123,9 @@ const UniverseContent = ({ content = [], categories, theme, pageContext, mdxComp
|
|||
</Section>
|
||||
)}
|
||||
<section className="search-exclude">
|
||||
<H3>Found a mistake or something isn't working?</H3>
|
||||
<H3>Found a mistake or something isn't working?</H3>
|
||||
<p>
|
||||
If you've come across a universe project that isn't working or is
|
||||
If you've come across a universe project that isn't working or is
|
||||
incompatible with the reported spaCy version, let us know by{' '}
|
||||
<Link to="https://github.com/explosion/spaCy/discussions/new">
|
||||
opening a discussion thread
|
||||
|
@ -234,7 +234,7 @@ const Project = ({ data, components }) => (
|
|||
)}
|
||||
{data.cran && (
|
||||
<Aside title="Installation">
|
||||
<CodeBlock lang="r">install.packages("{data.cran}")</CodeBlock>
|
||||
<CodeBlock lang="r">install.packages("{data.cran}")</CodeBlock>
|
||||
</Aside>
|
||||
)}
|
||||
|
||||
|
|
|
@ -75,15 +75,15 @@ const Landing = ({ data }) => {
|
|||
<LandingCard title="Get things done" url="/usage/spacy-101" button="Get started">
|
||||
spaCy is designed to help you do real work — to build real products, or gather
|
||||
real insights. The library respects your time, and tries to avoid wasting it.
|
||||
It's easy to install, and its API is simple and productive.
|
||||
It's easy to install, and its API is simple and productive.
|
||||
</LandingCard>
|
||||
<LandingCard
|
||||
title="Blazing fast"
|
||||
url="/usage/facts-figures"
|
||||
button="Facts & Figures"
|
||||
>
|
||||
spaCy excels at large-scale information extraction tasks. It's written from the
|
||||
ground up in carefully memory-managed Cython. If your application needs to
|
||||
spaCy excels at large-scale information extraction tasks. It's written from
|
||||
the ground up in carefully memory-managed Cython. If your application needs to
|
||||
process entire web dumps, spaCy is the library you want to be using.
|
||||
</LandingCard>
|
||||
|
||||
|
@ -115,33 +115,33 @@ const Landing = ({ data }) => {
|
|||
<img src={tailoredPipelinesImage} alt="spaCy Tailored Pipelines" />
|
||||
</Link>
|
||||
<strong>
|
||||
Get a custom spaCy pipeline, tailor-made for your NLP problem by spaCy's
|
||||
core developers.
|
||||
Get a custom spaCy pipeline, tailor-made for your NLP problem by
|
||||
spaCy's core developers.
|
||||
</strong>
|
||||
<br />
|
||||
<br />
|
||||
<Ul>
|
||||
<Li emoji="🔥">
|
||||
<strong>Streamlined.</strong> Nobody knows spaCy better than we do. Send
|
||||
us your pipeline requirements and we'll be ready to start producing your
|
||||
solution in no time at all.
|
||||
us your pipeline requirements and we'll be ready to start producing
|
||||
your solution in no time at all.
|
||||
</Li>
|
||||
<Li emoji="🐿 ">
|
||||
<strong>Production ready.</strong> spaCy pipelines are robust and easy
|
||||
to deploy. You'll get a complete spaCy project folder which is ready to{' '}
|
||||
<InlineCode>spacy project run</InlineCode>.
|
||||
to deploy. You'll get a complete spaCy project folder which is
|
||||
ready to <InlineCode>spacy project run</InlineCode>.
|
||||
</Li>
|
||||
<Li emoji="🔮">
|
||||
<strong>Predictable.</strong> You'll know exactly what you're going to
|
||||
get and what it's going to cost. We quote fees up-front, let you try
|
||||
before you buy, and don't charge for over-runs at our end — all the risk
|
||||
is on us.
|
||||
<strong>Predictable.</strong> You'll know exactly what you're
|
||||
going to get and what it's going to cost. We quote fees up-front,
|
||||
let you try before you buy, and don't charge for over-runs at our
|
||||
end — all the risk is on us.
|
||||
</Li>
|
||||
<Li emoji="🛠">
|
||||
<strong>Maintainable.</strong> spaCy is an industry standard, and we'll
|
||||
deliver your pipeline with full code, data, tests and documentation, so
|
||||
your team can retrain, update and extend the solution as your
|
||||
requirements change.
|
||||
<strong>Maintainable.</strong> spaCy is an industry standard, and
|
||||
we'll deliver your pipeline with full code, data, tests and
|
||||
documentation, so your team can retrain, update and extend the solution
|
||||
as your requirements change.
|
||||
</Li>
|
||||
</Ul>
|
||||
</LandingBanner>
|
||||
|
@ -166,7 +166,7 @@ const Landing = ({ data }) => {
|
|||
<br />
|
||||
Prodigy is an <strong>annotation tool</strong> so efficient that data scientists
|
||||
can do the annotation themselves, enabling a new level of rapid iteration.
|
||||
Whether you're working on entity recognition, intent detection or image
|
||||
Whether you're working on entity recognition, intent detection or image
|
||||
classification, Prodigy can help you <strong>train and evaluate</strong> your
|
||||
models faster.
|
||||
</LandingBanner>
|
||||
|
@ -214,7 +214,7 @@ const Landing = ({ data }) => {
|
|||
<LandingCol>
|
||||
<H2>End-to-end workflows from prototype to production</H2>
|
||||
<p>
|
||||
spaCy's new project system gives you a smooth path from prototype to
|
||||
spaCy's new project system gives you a smooth path from prototype to
|
||||
production. It lets you keep track of all those{' '}
|
||||
<strong>data transformation</strong>, preprocessing and{' '}
|
||||
<strong>training steps</strong>, so you can make sure your project is always
|
||||
|
@ -237,11 +237,11 @@ const Landing = ({ data }) => {
|
|||
small
|
||||
>
|
||||
spaCy v3.0 features all new <strong>transformer-based pipelines</strong> that
|
||||
bring spaCy's accuracy right up to the current <strong>state-of-the-art</strong>
|
||||
. You can use any pretrained transformer to train your own pipelines, and even
|
||||
share one transformer between multiple components with{' '}
|
||||
<strong>multi-task learning</strong>. Training is now fully configurable and
|
||||
extensible, and you can define your own custom models using{' '}
|
||||
bring spaCy's accuracy right up to the current{' '}
|
||||
<strong>state-of-the-art</strong>. You can use any pretrained transformer to
|
||||
train your own pipelines, and even share one transformer between multiple
|
||||
components with <strong>multi-task learning</strong>. Training is now fully
|
||||
configurable and extensible, and you can define your own custom models using{' '}
|
||||
<strong>PyTorch</strong>, <strong>TensorFlow</strong> and other frameworks.
|
||||
</LandingBanner>
|
||||
<LandingBanner
|
||||
|
@ -271,7 +271,7 @@ const Landing = ({ data }) => {
|
|||
<LandingCol>
|
||||
<H2>Benchmarks</H2>
|
||||
<p>
|
||||
spaCy v3.0 introduces transformer-based pipelines that bring spaCy's
|
||||
spaCy v3.0 introduces transformer-based pipelines that bring spaCy's
|
||||
accuracy right up to the current <strong>state-of-the-art</strong>. You can
|
||||
also use a CPU-optimized pipeline, which is less accurate but much cheaper
|
||||
to run.
|
||||
|
|
|
@ -93,7 +93,7 @@ const QuickstartInstall = ({ id, title, description, children }) => {
|
|||
import spacy
|
||||
</QS>
|
||||
<QS load="spacy" prompt="python">
|
||||
nlp = spacy.load("{pkg}")
|
||||
nlp = spacy.load("{pkg}")
|
||||
</QS>
|
||||
<QS load="module" prompt="python">
|
||||
import {pkg}
|
||||
|
@ -102,7 +102,7 @@ const QuickstartInstall = ({ id, title, description, children }) => {
|
|||
nlp = {pkg}.load()
|
||||
</QS>
|
||||
<QS config="example" prompt="python">
|
||||
doc = nlp("{exampleText}")
|
||||
doc = nlp("{exampleText}")
|
||||
</QS>
|
||||
<QS config="example" prompt="python">
|
||||
print([
|
||||
|
|
Loading…
Reference in New Issue
Block a user