Vikas Saini
2019-07-03 22:59
您可以使用适合自己的embed或iframe，
我建议嵌入，因为它看起来很干净。
快速演示： https : //jsfiddle.net/vikas_saini/kupb0Lh9/5/
<div>
<h1>SOME TEXT</h1>
<embed src="https://example.com/" style="width:500px; height: 300px;">
<iframe src="https://example.com/">
<p>Your browser does not support iframes.</p>
</iframe>
</div>
您的代码示例
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Maxes</title>
</head>
<body>
<div class="jumbotron jumbotron-fluid">
<div class="container">
<h1 id="title">Forever</h1>
<p id="intro">Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam id mi vitae felis faucibus finibus eu nec arcu. Curabitur quis ultricies magna. Cras rutrum metus est, id hendrerit mauris mattis a. Etiam suscipit sodales urna eget fringilla. Donec diam lorem, laoreet commodo ligula nec, mollis mattis mi. Mauris luctus ut nisi ac viverra. Integer dictum eu mi a aliquet. </p>
</div>
</div>
<div class="principal">
<p>
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam id mi vitae felis faucibus finibus eu nec arcu. Curabitur quis ultricies magna. Cras rutrum metus est, id hendrerit mauris mattis a. Etiam suscipit sodales urna eget fringilla. Donec diam lorem, laoreet commodo ligula nec, mollis mattis mi. Mauris luctus ut nisi ac viverra. Integer dictum eu mi a aliquet.
</p>
<embed src="GenrePie.html" style="width:500px; height: 300px;">
</div>
</body>
</html>
让我知道这是否对您不起作用。
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Mamba is a new state space model architecture showing promising performance on information-dense data such as language modeling, where previous subquadratic models fall short of Transformers. It is based on the line of progress on structured state space models, with an efficient hardware-aware design and implementation in the spirit of FlashAttention.
(翻译：Mamba 是一种新的状态空间模型架构，在信息密集型数据（例如语言建模）上显示出良好的性能，而之前的二次模型在 Transformers 方面存在不足。它基于结构化状态空间模型的进展，并本着FlashAttention的精神进行高效的硬件感知设计和实现。)