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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Transformer Models Search</title>
<script src="https://cdn.tailwindcss.com"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
<style>
body {
display: flex;
flex-direction: column;
min-height: 100vh;
background-color: #000000;
}
.search-container {
width: 100%;
max-width: 800px;
padding: 0 20px;
margin: auto;
}
.results-container {
width: 100%;
max-width: 1200px;
padding: 20px;
display: none;
margin: 0 auto;
}
.model-card {
transition: all 0.2s ease;
}
.model-card:hover {
transform: translateY(-2px);
box-shadow: 0 10px 15px -3px rgba(255, 255, 255, 0.1);
}
.search-wrapper {
position: relative;
width: 100%;
margin: 0 auto;
}
.search-input {
width: 100%;
padding: 1rem 1.5rem;
border-radius: 9999px;
background-color: rgba(0, 0, 0, 0.8);
border: 1px solid rgba(255, 255, 255, 0.2);
box-shadow: 0 0 0 1px rgba(255, 255, 255, 0.05);
transition: all 0.3s ease;
font-size: 1rem;
position: relative;
z-index: 2;
color: white;
}
.search-input:focus {
outline: none;
border-color: rgba(124, 58, 237, 0.5);
}
.search-input::placeholder {
color: rgba(255, 255, 255, 0.5);
}
.search-button {
position: absolute;
right: 1rem;
top: 50%;
transform: translateY(-50%);
background: transparent;
border: none;
color: white;
cursor: pointer;
transition: all 0.2s ease;
z-index: 3;
}
.search-button:hover {
color: #aaa;
}
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position: absolute;
top: -2px;
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background: linear-gradient(
90deg,
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rgba(0, 0, 255, 0.8) 80%,
rgba(128, 0, 128, 0.8) 100%
);
border-radius: 9999px;
z-index: 1;
opacity: 0;
transition: opacity 0.3s ease;
filter: blur(8px);
animation: rainbow-glow 6s linear infinite;
background-size: 400% 400%;
}
.search-wrapper:hover .glow-effect,
.search-input:focus ~ .glow-effect {
opacity: 0.8;
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@keyframes rainbow-glow {
0% {
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16.6% {
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33.3% {
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background-position: 100% 50%;
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}
100% {
background-position: 0% 50%;
box-shadow: 0 0 15px rgba(255, 0, 0, 0.5);
}
}
</style>
</head>
<body>
<div class="search-container">
<div class="flex flex-col items-center">
<h1 class="text-3xl font-bold text-white mb-8">Transformer Models Search</h1>
<div class="search-wrapper w-full mb-8">
<div class="glow-effect"></div>
<input type="text" id="searchInput"
class="search-input"
placeholder="Search for a model (e.g. GPT-4, BERT, ViT)...">
<button id="searchButton" class="search-button">
<i class="fas fa-search text-xl"></i>
</button>
</div>
<p class="text-gray-400 text-sm">Try searching for GPT-4, BERT, or ViT to see available resources</p>
</div>
</div>
<div id="resultsContainer" class="results-container">
<div class="flex justify-between items-center mb-6">
<h2 id="resultsTitle" class="text-2xl font-semibold text-white">Search Results for <span class="font-normal" id="searchTermDisplay"></span></h2>
<button id="backButton" class="flex items-center text-gray-400 hover:text-white">
<i class="fas fa-arrow-left mr-2"></i> Back to Search
</button>
</div>
<div id="modelResources" class="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-6">
<!-- Model resources will be inserted here by JavaScript -->
</div>
</div>
<script>
// Sample model data
const modelDatabase = {
"gpt-4": [
{
title: "GPT-4 Technical Report",
type: "paper",
url: "https://arxiv.org/abs/2303.08774",
description: "Official technical report from OpenAI detailing GPT-4's architecture and capabilities."
},
{
title: "OpenAI API Documentation",
type: "docs",
url: "https://platform.openai.com/docs/models/gpt-4",
description: "Official API documentation for accessing GPT-4 through OpenAI's platform."
},
{
title: "GitHub Implementation",
type: "code",
url: "https://github.com/openai/gpt-4",
description: "Community implementations and tools for working with GPT-4."
}
],
"bert": [
{
title: "BERT: Pre-training of Deep Bidirectional Transformers",
type: "paper",
url: "https://arxiv.org/abs/1810.04805",
description: "Original BERT paper from Google Research."
},
{
title: "HuggingFace Transformers",
type: "code",
url: "https://huggingface.co/docs/transformers/model_doc/bert",
description: "Implementation and fine-tuning guide for BERT models."
},
{
title: "BERT Explained",
type: "tutorial",
url: "https://jalammar.github.io/illustrated-bert/",
description: "Visual guide to understanding how BERT works."
},
{
title: "TensorFlow BERT Tutorial",
type: "tutorial",
url: "https://www.tensorflow.org/text/tutorials/classify_text_with_bert",
description: "Official TensorFlow tutorial for text classification with BERT."
}
],
"vit": [
{
title: "An Image is Worth 16x16 Words",
type: "paper",
url: "https://arxiv.org/abs/2010.11929",
description: "Original Vision Transformer (ViT) paper from Google Research."
},
{
title: "PyTorch Implementation",
type: "code",
url: "https://github.com/lucidrains/vit-pytorch",
description: "Popular PyTorch implementation of Vision Transformer."
},
{
title: "ViT Explained",
type: "tutorial",
url: "https://towardsdatascience.com/vision-transformers-from-scratch-pytorch-a-step-by-step-guide-96c3313c2e0c",
description: "Step-by-step guide to understanding and implementing ViT."
}
]
};
// DOM elements
const searchInput = document.getElementById('searchInput');
const searchButton = document.getElementById('searchButton');
const resultsContainer = document.getElementById('resultsContainer');
const modelResources = document.getElementById('modelResources');
const searchTermDisplay = document.getElementById('searchTermDisplay');
const backButton = document.getElementById('backButton');
// Search function
function performSearch() {
const searchTerm = searchInput.value.trim().toLowerCase();
if (searchTerm) {
// Display search term
searchTermDisplay.textContent = `"${searchTerm}"`;
// Clear previous results
modelResources.innerHTML = '';
// Check if we have resources for this model
if (modelDatabase[searchTerm]) {
// Add resources to the page
modelDatabase[searchTerm].forEach(resource => {
const card = createResourceCard(resource);
modelResources.appendChild(card);
});
} else {
// Show "no results" message
modelResources.innerHTML = `
<div class="col-span-full text-center py-10">
<i class="fas fa-search text-4xl text-gray-600 mb-4"></i>
<h3 class="text-xl font-medium text-gray-400">No resources found for "${searchTerm}"</h3>
<p class="text-gray-500 mt-2">Try searching for GPT-4, BERT, or ViT</p>
</div>
`;
}
// Show results container
resultsContainer.style.display = 'block';
searchInput.value = '';
}
}
// Create resource card element
function createResourceCard(resource) {
const card = document.createElement('div');
card.className = 'model-card bg-gray-900 rounded-xl border border-gray-800 overflow-hidden shadow-sm hover:shadow-md';
// Determine icon based on resource type
let icon, color;
switch(resource.type) {
case 'paper':
icon = 'file-alt';
color = 'bg-gray-800 text-gray-400';
break;
case 'code':
icon = 'code';
color = 'bg-gray-800 text-gray-400';
break;
case 'docs':
icon = 'book';
color = 'bg-gray-800 text-gray-400';
break;
case 'tutorial':
icon = 'graduation-cap';
color = 'bg-gray-800 text-gray-400';
break;
default:
icon = 'link';
color = 'bg-gray-800 text-gray-400';
}
card.innerHTML = `
<a href="${resource.url}" target="_blank" class="block h-full">
<div class="p-6">
<div class="flex items-center mb-4">
<div class="w-10 h-10 rounded-full ${color} flex items-center justify-center mr-3">
<i class="fas fa-${icon}"></i>
</div>
<h3 class="text-lg font-medium text-white">${resource.title}</h3>
</div>
<p class="text-gray-400">${resource.description}</p>
<div class="mt-4 flex items-center text-sm text-gray-400 hover:text-white">
<span>View ${resource.type}</span>
<i class="fas fa-arrow-right ml-2"></i>
</div>
</div>
</a>
`;
return card;
}
// Event listeners
searchButton.addEventListener('click', performSearch);
searchInput.addEventListener('keypress', function(e) {
if (e.key === 'Enter') {
performSearch();
}
});
backButton.addEventListener('click', function() {
resultsContainer.style.display = 'none';
searchInput.focus();
});
</script>
<p style="border-radius: 8px; text-align: center; font-size: 12px; color: #fff; margin-top: 16px;position: fixed; left: 8px; bottom: 8px; z-index: 10; background: rgba(0, 0, 0, 0.8); padding: 4px 8px;">Made with <img src="https://enzostvs-deepsite.hf.space/logo.svg" alt="DeepSite Logo" style="width: 16px; height: 16px; vertical-align: middle;display:inline-block;margin-right:3px;filter:brightness(0) invert(1);"><a href="https://enzostvs-deepsite.hf.space" style="color: #fff;text-decoration: underline;" target="_blank" >DeepSite</a> - 🧬 <a href="https://enzostvs-deepsite.hf.space?remix=stevhliu/model-resources" style="color: #fff;text-decoration: underline;" target="_blank" >Remix</a></p></body>
</html> |