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<!DOCTYPE html> |
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<html lang="en"> |
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<head> |
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<meta charset="UTF-8"> |
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<title>Token Classification - Hugging Face Transformers.js</title> |
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<script type="module"> |
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import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]'; |
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window.pipeline = pipeline; |
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</script> |
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<link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet"> |
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<link rel="stylesheet" href="css/styles.css"> |
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</head> |
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<body> |
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<div class="container-main"> |
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<div class="header"> |
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<div class="header-logo"> |
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<img src="images/logo.png" alt="logo"> |
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</div> |
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<div class="header-main-text"> |
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<h1>Hugging Face Transformers.js</h1> |
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</div> |
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<div class="header-sub-text"> |
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<h3>Free AI Models for JavaScript Web Development</h3> |
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</div> |
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</div> |
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<hr> |
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<div class="row mt-5"> |
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<div class="col-md-12 text-center"> |
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<a href="index.html" class="btn btn-outline-secondary" |
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style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a> |
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</div> |
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</div> |
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<div class="container mt-5"> |
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<div class="text-center"> |
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<h2>Natural Language Processing</h2> |
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<h4>Token Classification (Named Entity Recognition)</h4> |
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</div> |
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<div id="token-classification-container" class="container mt-4"> |
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<h5>Perform Named Entity Recognition with Xenova/bert-base-NER:</h5> |
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<div class="d-flex align-items-center"> |
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<label for="tokenClassificationText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to Recognize:</label> |
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<input type="text" class="form-control flex-grow-1" id="tokenClassificationText" |
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value="My name is Sarah and I live in London" placeholder="Enter text" |
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style="margin-right: 15px; margin-left: 15px;"> |
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<button id="classifyButton" class="btn btn-primary" onclick="analyzeText()">analyze</button> |
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</div> |
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<div class="mt-4"> |
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<h4>Output:</h4> |
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<pre id="outputArea"></pre> |
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</div> |
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</div> |
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<hr> |
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<div id="token-classification-container2" class="container mt-4"> |
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<h5>Perform Named Entity Recognition with Xenova/bert-base-NER (Return all Labels):</h5> |
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<div class="d-flex align-items-center"> |
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<label for="tokenClassificationText2" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to Recognize:</label> |
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<input type="text" class="form-control flex-grow-1" id="tokenClassificationText2" |
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value="Sarah lives in the United States of America" placeholder="Enter text" |
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style="margin-right: 15px; margin-left: 15px;"> |
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<button id="classifyButton2" class="btn btn-primary" onclick="analyzeText2()">analyze</button> |
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</div> |
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<div class="mt-4"> |
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<h4>Output:</h4> |
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<pre id="outputArea2"></pre> |
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</div> |
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</div> |
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<div class="row mt-5"> |
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<div class="col-md-12 text-center"> |
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<a href="index.html" class="btn btn-outline-secondary" |
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style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a> |
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</div> |
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</div> |
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</div> |
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</div> |
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<script> |
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let classifier; |
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async function initializeModel() { |
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classifier = await pipeline('token-classification', 'Xenova/bert-base-NER'); |
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} |
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async function analyzeText() { |
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const textFieldValue = document.getElementById("tokenClassificationText").value.trim(); |
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const result = await classifier(textFieldValue); |
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document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2); |
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} |
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async function analyzeText2() { |
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const textFieldValue = document.getElementById("tokenClassificationText2").value.trim(); |
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const result = await classifier(textFieldValue, { ignore_labels: [] }); |
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document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2); |
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} |
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window.addEventListener("DOMContentLoaded", initializeModel); |
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</script> |
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</body> |
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</html> |
