mawiesne commented on code in PR #673: URL: https://github.com/apache/opennlp/pull/673#discussion_r1820097046
########## opennlp-docs/src/docbkx/model-loading.xml: ########## @@ -0,0 +1,147 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE chapter PUBLIC "-//OASIS//DTD DocBook XML V4.4//EN" + "http://www.oasis-open.org/docbook/xml/4.4/docbookx.dtd"[ + ]> +<!-- +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +--> + +<chapter id="tools.model"> + <title>Classpath Loading of OpenNLP Models</title> + <para> + Since version 2.4.0, OpenNLP supports the ability to load pre-trained OpenNLP models from the classpath. + It relies on either a simple implementation using the application's classpath or on the + <ulink url="https://github.com/classgraph/classgraph">classgraph</ulink> + library to locate OpenNLP model JAR files. + Our pre-trained models are bundled from the <ulink url="https://github.com/apache/opennlp-models">OpenNLP Models + repository</ulink>. + + This section describes + + <itemizedlist> + <listitem> + <para>how to load and use a pre-trained OpenNLP model from the classpath.</para> + </listitem> + <listitem> + <para>how to bundle a custom OpenNLP model to be loadable as a JAR file from the classpath.</para> + </listitem> + </itemizedlist> + + </para> + + <section id="tools.model.load"> + <title>Loading a pre-trained OpenNLP model from the classpath</title> + <para> + First, you need to add the following dependency to your classpath: + + <programlisting language="xml"> + <![CDATA[ +<dependency> + <groupId>org.apache.opennlp</groupId> + <artifactId>opennlp-tools-models</artifactId> + <version>CURRENT_OPENNLP_VERSION</version> +</dependency> +]]> + </programlisting> + + by using our pre-trained models or by building custom models as described later in this chapter. + If you need advanced classpath scanning capabilities, you should also add the classgraph library to your classpath. + + <programlisting language="xml"> + <![CDATA[ +<dependency> + <groupId>io.github.classgraph</groupId> + <artifactId>classgraph</artifactId> + <version>CURRENT_CLASSGRAPH_VERSION</version> +</dependency> +]]> + </programlisting> + + Make sure you replace the placeholders with the appropriate version values. + + Next, you can search for such a model and load it from the classpath: + + <programlisting language="java"> + <![CDATA[ +final ClassgraphModelFinder finder = new ClassgraphModelFinder(); // or use new SimpleClassPathModelFinder() +final ClassPathModelLoader loader = new ClassPathModelLoader(); +final Set<ClassPathModelEntry> models = finder.findModels(false); +for(ClassPathModelEntry entry : models) { + + final ClassPathModel model = loader.load(model); + + if(model != null) { + System.out.println(model.name()); + System.out.println(model.sha256()); + System.out.println(model.version()); + System.out.println(model.language()); + // do something with the model by consuming the byte array + } +}]]> + </programlisting> + + </para> + </section> + + + <section id="tools.model.bundle"> + <title>Bundling a custom trained OpenNLP model for the classpath</title> + <para> + If you intend to provide your own custom trained OpenNLP models as JAR files for classpath discovery, + we recommend that you have a look at our setup in the <ulink url="https://github.com/apache/opennlp-models">OpenNLP Models + repository</ulink>. We recommend to put one model per JAR file. + + Make sure you add a model.properties file with the following content Review Comment: "model.properties" c/should be emphasized here somehow. ########## opennlp-docs/src/docbkx/model-loading.xml: ########## @@ -0,0 +1,147 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE chapter PUBLIC "-//OASIS//DTD DocBook XML V4.4//EN" + "http://www.oasis-open.org/docbook/xml/4.4/docbookx.dtd"[ + ]> +<!-- +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +--> + +<chapter id="tools.model"> + <title>Classpath Loading of OpenNLP Models</title> + <para> + Since version 2.4.0, OpenNLP supports the ability to load pre-trained OpenNLP models from the classpath. + It relies on either a simple implementation using the application's classpath or on the + <ulink url="https://github.com/classgraph/classgraph">classgraph</ulink> + library to locate OpenNLP model JAR files. + Our pre-trained models are bundled from the <ulink url="https://github.com/apache/opennlp-models">OpenNLP Models + repository</ulink>. + + This section describes + + <itemizedlist> + <listitem> + <para>how to load and use a pre-trained OpenNLP model from the classpath.</para> + </listitem> + <listitem> + <para>how to bundle a custom OpenNLP model to be loadable as a JAR file from the classpath.</para> + </listitem> + </itemizedlist> + + </para> + + <section id="tools.model.load"> + <title>Loading a pre-trained OpenNLP model from the classpath</title> + <para> + First, you need to add the following dependency to your classpath: + + <programlisting language="xml"> + <![CDATA[ +<dependency> + <groupId>org.apache.opennlp</groupId> + <artifactId>opennlp-tools-models</artifactId> + <version>CURRENT_OPENNLP_VERSION</version> +</dependency> +]]> + </programlisting> + + by using our pre-trained models or by building custom models as described later in this chapter. + If you need advanced classpath scanning capabilities, you should also add the classgraph library to your classpath. + + <programlisting language="xml"> + <![CDATA[ +<dependency> + <groupId>io.github.classgraph</groupId> + <artifactId>classgraph</artifactId> + <version>CURRENT_CLASSGRAPH_VERSION</version> +</dependency> +]]> + </programlisting> + + Make sure you replace the placeholders with the appropriate version values. + + Next, you can search for such a model and load it from the classpath: + + <programlisting language="java"> + <![CDATA[ +final ClassgraphModelFinder finder = new ClassgraphModelFinder(); // or use new SimpleClassPathModelFinder() +final ClassPathModelLoader loader = new ClassPathModelLoader(); +final Set<ClassPathModelEntry> models = finder.findModels(false); +for(ClassPathModelEntry entry : models) { + + final ClassPathModel model = loader.load(model); + + if(model != null) { + System.out.println(model.name()); + System.out.println(model.sha256()); + System.out.println(model.version()); + System.out.println(model.language()); + // do something with the model by consuming the byte array + } +}]]> + </programlisting> + + </para> + </section> + + + <section id="tools.model.bundle"> + <title>Bundling a custom trained OpenNLP model for the classpath</title> + <para> + If you intend to provide your own custom trained OpenNLP models as JAR files for classpath discovery, + we recommend that you have a look at our setup in the <ulink url="https://github.com/apache/opennlp-models">OpenNLP Models + repository</ulink>. We recommend to put one model per JAR file. Review Comment: "put" -> "bundle" ? ########## opennlp-docs/src/docbkx/model-loading.xml: ########## @@ -0,0 +1,147 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE chapter PUBLIC "-//OASIS//DTD DocBook XML V4.4//EN" + "http://www.oasis-open.org/docbook/xml/4.4/docbookx.dtd"[ + ]> +<!-- +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +--> + +<chapter id="tools.model"> + <title>Classpath Loading of OpenNLP Models</title> + <para> + Since version 2.4.0, OpenNLP supports the ability to load pre-trained OpenNLP models from the classpath. + It relies on either a simple implementation using the application's classpath or on the + <ulink url="https://github.com/classgraph/classgraph">classgraph</ulink> + library to locate OpenNLP model JAR files. + Our pre-trained models are bundled from the <ulink url="https://github.com/apache/opennlp-models">OpenNLP Models + repository</ulink>. + + This section describes + + <itemizedlist> + <listitem> + <para>how to load and use a pre-trained OpenNLP model from the classpath.</para> + </listitem> + <listitem> + <para>how to bundle a custom OpenNLP model to be loadable as a JAR file from the classpath.</para> + </listitem> + </itemizedlist> + + </para> + + <section id="tools.model.load"> + <title>Loading a pre-trained OpenNLP model from the classpath</title> + <para> + First, you need to add the following dependency to your classpath: + + <programlisting language="xml"> + <![CDATA[ +<dependency> + <groupId>org.apache.opennlp</groupId> + <artifactId>opennlp-tools-models</artifactId> + <version>CURRENT_OPENNLP_VERSION</version> +</dependency> +]]> + </programlisting> + + by using our pre-trained models or by building custom models as described later in this chapter. + If you need advanced classpath scanning capabilities, you should also add the classgraph library to your classpath. + + <programlisting language="xml"> + <![CDATA[ +<dependency> + <groupId>io.github.classgraph</groupId> + <artifactId>classgraph</artifactId> + <version>CURRENT_CLASSGRAPH_VERSION</version> +</dependency> +]]> + </programlisting> + + Make sure you replace the placeholders with the appropriate version values. + + Next, you can search for such a model and load it from the classpath: + + <programlisting language="java"> + <![CDATA[ +final ClassgraphModelFinder finder = new ClassgraphModelFinder(); // or use new SimpleClassPathModelFinder() +final ClassPathModelLoader loader = new ClassPathModelLoader(); +final Set<ClassPathModelEntry> models = finder.findModels(false); +for(ClassPathModelEntry entry : models) { + + final ClassPathModel model = loader.load(model); + + if(model != null) { + System.out.println(model.name()); + System.out.println(model.sha256()); + System.out.println(model.version()); + System.out.println(model.language()); + // do something with the model by consuming the byte array + } +}]]> + </programlisting> + + </para> + </section> + + + <section id="tools.model.bundle"> + <title>Bundling a custom trained OpenNLP model for the classpath</title> + <para> + If you intend to provide your own custom trained OpenNLP models as JAR files for classpath discovery, + we recommend that you have a look at our setup in the <ulink url="https://github.com/apache/opennlp-models">OpenNLP Models + repository</ulink>. We recommend to put one model per JAR file. + + Make sure you add a model.properties file with the following content + + <programlisting language="java"> + <![CDATA[ +model.name=${model.name} +model.version=${model.version} +model.sha256=${model.sha256} +model.language=${model.language} +]]> + </programlisting> + + Make sure to replace the values accordingly and configure your build tool to include the binary model and the model.properties + in the resulting JAR file. + + To load such a custom model, you may need to adjust the pattern for classpath scanning, i.e. if you name your model "custom-opennlp-model", Review Comment: Better avoid "i.e." in non-academic text auch as a dev manual. Better: "that is" ########## opennlp-docs/src/docbkx/model-loading.xml: ########## @@ -0,0 +1,147 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE chapter PUBLIC "-//OASIS//DTD DocBook XML V4.4//EN" + "http://www.oasis-open.org/docbook/xml/4.4/docbookx.dtd"[ + ]> +<!-- +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +--> + +<chapter id="tools.model"> + <title>Classpath Loading of OpenNLP Models</title> + <para> + Since version 2.4.0, OpenNLP supports the ability to load pre-trained OpenNLP models from the classpath. + It relies on either a simple implementation using the application's classpath or on the + <ulink url="https://github.com/classgraph/classgraph">classgraph</ulink> + library to locate OpenNLP model JAR files. + Our pre-trained models are bundled from the <ulink url="https://github.com/apache/opennlp-models">OpenNLP Models + repository</ulink>. + + This section describes + + <itemizedlist> + <listitem> + <para>how to load and use a pre-trained OpenNLP model from the classpath.</para> + </listitem> + <listitem> + <para>how to bundle a custom OpenNLP model to be loadable as a JAR file from the classpath.</para> + </listitem> + </itemizedlist> + + </para> + + <section id="tools.model.load"> + <title>Loading a pre-trained OpenNLP model from the classpath</title> + <para> + First, you need to add the following dependency to your classpath: + + <programlisting language="xml"> + <![CDATA[ +<dependency> + <groupId>org.apache.opennlp</groupId> + <artifactId>opennlp-tools-models</artifactId> + <version>CURRENT_OPENNLP_VERSION</version> +</dependency> +]]> + </programlisting> + + by using our pre-trained models or by building custom models as described later in this chapter. Review Comment: "chapter" should read "section" here ########## opennlp-docs/src/docbkx/model-loading.xml: ########## @@ -0,0 +1,147 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE chapter PUBLIC "-//OASIS//DTD DocBook XML V4.4//EN" + "http://www.oasis-open.org/docbook/xml/4.4/docbookx.dtd"[ + ]> +<!-- +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +--> + +<chapter id="tools.model"> + <title>Classpath Loading of OpenNLP Models</title> + <para> + Since version 2.4.0, OpenNLP supports the ability to load pre-trained OpenNLP models from the classpath. + It relies on either a simple implementation using the application's classpath or on the + <ulink url="https://github.com/classgraph/classgraph">classgraph</ulink> + library to locate OpenNLP model JAR files. + Our pre-trained models are bundled from the <ulink url="https://github.com/apache/opennlp-models">OpenNLP Models + repository</ulink>. + + This section describes + + <itemizedlist> + <listitem> + <para>how to load and use a pre-trained OpenNLP model from the classpath.</para> + </listitem> + <listitem> + <para>how to bundle a custom OpenNLP model to be loadable as a JAR file from the classpath.</para> + </listitem> + </itemizedlist> + + </para> + + <section id="tools.model.load"> + <title>Loading a pre-trained OpenNLP model from the classpath</title> + <para> + First, you need to add the following dependency to your classpath: + + <programlisting language="xml"> + <![CDATA[ +<dependency> + <groupId>org.apache.opennlp</groupId> + <artifactId>opennlp-tools-models</artifactId> + <version>CURRENT_OPENNLP_VERSION</version> +</dependency> +]]> + </programlisting> + + by using our pre-trained models or by building custom models as described later in this chapter. + If you need advanced classpath scanning capabilities, you should also add the classgraph library to your classpath. + + <programlisting language="xml"> + <![CDATA[ +<dependency> + <groupId>io.github.classgraph</groupId> + <artifactId>classgraph</artifactId> + <version>CURRENT_CLASSGRAPH_VERSION</version> +</dependency> +]]> + </programlisting> + + Make sure you replace the placeholders with the appropriate version values. + + Next, you can search for such a model and load it from the classpath: + + <programlisting language="java"> + <![CDATA[ +final ClassgraphModelFinder finder = new ClassgraphModelFinder(); // or use new SimpleClassPathModelFinder() +final ClassPathModelLoader loader = new ClassPathModelLoader(); +final Set<ClassPathModelEntry> models = finder.findModels(false); +for(ClassPathModelEntry entry : models) { + + final ClassPathModel model = loader.load(model); + + if(model != null) { + System.out.println(model.name()); + System.out.println(model.sha256()); + System.out.println(model.version()); + System.out.println(model.language()); + // do something with the model by consuming the byte array + } +}]]> + </programlisting> + + </para> + </section> + + + <section id="tools.model.bundle"> + <title>Bundling a custom trained OpenNLP model for the classpath</title> + <para> + If you intend to provide your own custom trained OpenNLP models as JAR files for classpath discovery, + we recommend that you have a look at our setup in the <ulink url="https://github.com/apache/opennlp-models">OpenNLP Models + repository</ulink>. We recommend to put one model per JAR file. + + Make sure you add a model.properties file with the following content + + <programlisting language="java"> + <![CDATA[ +model.name=${model.name} +model.version=${model.version} +model.sha256=${model.sha256} +model.language=${model.language} +]]> + </programlisting> + + Make sure to replace the values accordingly and configure your build tool to include the binary model and the model.properties Review Comment: "model.properties" c/should be emphasized here somehow ########## opennlp-docs/src/docbkx/model-loading.xml: ########## @@ -0,0 +1,147 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE chapter PUBLIC "-//OASIS//DTD DocBook XML V4.4//EN" + "http://www.oasis-open.org/docbook/xml/4.4/docbookx.dtd"[ + ]> +<!-- +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +--> + +<chapter id="tools.model"> + <title>Classpath Loading of OpenNLP Models</title> + <para> + Since version 2.4.0, OpenNLP supports the ability to load pre-trained OpenNLP models from the classpath. + It relies on either a simple implementation using the application's classpath or on the + <ulink url="https://github.com/classgraph/classgraph">classgraph</ulink> + library to locate OpenNLP model JAR files. + Our pre-trained models are bundled from the <ulink url="https://github.com/apache/opennlp-models">OpenNLP Models + repository</ulink>. + + This section describes + + <itemizedlist> + <listitem> + <para>how to load and use a pre-trained OpenNLP model from the classpath.</para> + </listitem> + <listitem> + <para>how to bundle a custom OpenNLP model to be loadable as a JAR file from the classpath.</para> + </listitem> + </itemizedlist> + + </para> + + <section id="tools.model.load"> + <title>Loading a pre-trained OpenNLP model from the classpath</title> + <para> + First, you need to add the following dependency to your classpath: + + <programlisting language="xml"> + <![CDATA[ +<dependency> + <groupId>org.apache.opennlp</groupId> + <artifactId>opennlp-tools-models</artifactId> + <version>CURRENT_OPENNLP_VERSION</version> +</dependency> +]]> + </programlisting> + + by using our pre-trained models or by building custom models as described later in this chapter. + If you need advanced classpath scanning capabilities, you should also add the classgraph library to your classpath. Review Comment: "should" -> "can" ########## opennlp-docs/src/docbkx/model-loading.xml: ########## @@ -0,0 +1,147 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE chapter PUBLIC "-//OASIS//DTD DocBook XML V4.4//EN" + "http://www.oasis-open.org/docbook/xml/4.4/docbookx.dtd"[ + ]> +<!-- +Licensed to the Apache Software Foundation (ASF) under one +or more contributor license agreements. See the NOTICE file +distributed with this work for additional information +regarding copyright ownership. The ASF licenses this file +to you under the Apache License, Version 2.0 (the +"License"); you may not use this file except in compliance +with the License. You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, +software distributed under the License is distributed on an +"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +KIND, either express or implied. See the License for the +specific language governing permissions and limitations +under the License. +--> + +<chapter id="tools.model"> + <title>Classpath Loading of OpenNLP Models</title> + <para> + Since version 2.4.0, OpenNLP supports the ability to load pre-trained OpenNLP models from the classpath. + It relies on either a simple implementation using the application's classpath or on the + <ulink url="https://github.com/classgraph/classgraph">classgraph</ulink> + library to locate OpenNLP model JAR files. + Our pre-trained models are bundled from the <ulink url="https://github.com/apache/opennlp-models">OpenNLP Models + repository</ulink>. + + This section describes + + <itemizedlist> + <listitem> + <para>how to load and use a pre-trained OpenNLP model from the classpath.</para> + </listitem> + <listitem> + <para>how to bundle a custom OpenNLP model to be loadable as a JAR file from the classpath.</para> + </listitem> + </itemizedlist> + + </para> + + <section id="tools.model.load"> + <title>Loading a pre-trained OpenNLP model from the classpath</title> + <para> + First, you need to add the following dependency to your classpath: + + <programlisting language="xml"> + <![CDATA[ +<dependency> + <groupId>org.apache.opennlp</groupId> + <artifactId>opennlp-tools-models</artifactId> + <version>CURRENT_OPENNLP_VERSION</version> +</dependency> +]]> + </programlisting> + + by using our pre-trained models or by building custom models as described later in this chapter. + If you need advanced classpath scanning capabilities, you should also add the classgraph library to your classpath. + + <programlisting language="xml"> + <![CDATA[ +<dependency> + <groupId>io.github.classgraph</groupId> + <artifactId>classgraph</artifactId> + <version>CURRENT_CLASSGRAPH_VERSION</version> +</dependency> +]]> + </programlisting> + + Make sure you replace the placeholders with the appropriate version values. + + Next, you can search for such a model and load it from the classpath: + + <programlisting language="java"> + <![CDATA[ +final ClassgraphModelFinder finder = new ClassgraphModelFinder(); // or use new SimpleClassPathModelFinder() +final ClassPathModelLoader loader = new ClassPathModelLoader(); +final Set<ClassPathModelEntry> models = finder.findModels(false); +for(ClassPathModelEntry entry : models) { + + final ClassPathModel model = loader.load(model); + + if(model != null) { + System.out.println(model.name()); + System.out.println(model.sha256()); + System.out.println(model.version()); + System.out.println(model.language()); + // do something with the model by consuming the byte array + } +}]]> + </programlisting> + + </para> + </section> + + + <section id="tools.model.bundle"> + <title>Bundling a custom trained OpenNLP model for the classpath</title> + <para> + If you intend to provide your own custom trained OpenNLP models as JAR files for classpath discovery, + we recommend that you have a look at our setup in the <ulink url="https://github.com/apache/opennlp-models">OpenNLP Models + repository</ulink>. We recommend to put one model per JAR file. + + Make sure you add a model.properties file with the following content + + <programlisting language="java"> + <![CDATA[ +model.name=${model.name} +model.version=${model.version} +model.sha256=${model.sha256} +model.language=${model.language} +]]> + </programlisting> + + Make sure to replace the values accordingly and configure your build tool to include the binary model and the model.properties + in the resulting JAR file. + + To load such a custom model, you may need to adjust the pattern for classpath scanning, i.e. if you name your model "custom-opennlp-model", + you would need the following code to successfully find and load it: Review Comment: remove: "would" It still says the same and more concrete. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. 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