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+ ---
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+ license: mit
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+ language:
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+ - en
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+ ---
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+ <style>
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+ body {
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+ font-family: Arial, sans-serif;
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+ margin: 20px;
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+ line-height: 1.6;
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+ background-color: #f9f9f9;
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+ color: #333;
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+ }
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+ h1 {
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+ color: #2c3e50;
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+ }
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+ h2 {
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+ color: #34495e;
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+ }
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+ ul {
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+ margin-left: 20px;
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+ }
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+ a {
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+ color: #2980b9;
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+ text-decoration: none;
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+ }
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+ a:hover {
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+ text-decoration: underline;
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+ }
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+ .code {
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+ background-color: #eef;
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+ border-radius: 4px;
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+ padding: 10px;
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+ display: inline-block;
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+ font-family: 'Courier New', Courier, monospace;
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+ }
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+ </style>
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+ <main>
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+ <h1>Hugging Face Text2GPT-like GPT-2</h1>
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+ <h2>Overview</h2>
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+ <p>This project focuses on implementing a variant of GPT-2 influenced by the Hugging Face Transformers library.</p>
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+ <h2>Installation</h2>
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+ <p>To install the necessary packages, use:</p>
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+ <pre class="code">pip install transformers torch</pre>
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+ <h2>Usage</h2>
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+ <p>To generate text using the model:</p>
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+ <pre class="code">
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+ from transformers import GPT2LMHeadModel, GPT2Tokenizer
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+
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+ tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
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+ model = GPT2LMHeadModel.from_pretrained('gpt2')
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+
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+ input_text = "Your prompt here"
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+ input_ids = tokenizer.encode(input_text, return_tensors='pt')
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+ output = model.generate(input_ids, max_length=50)
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+ print(tokenizer.decode(output[0], skip_special_tokens=True)
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+ </pre>
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+ <h2>Contributing</h2>
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+ <p>Feel free to fork the repository and submit pull requests for enhancements!</p>
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+ <h2>License</h2>
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+ <p>This project is licensed under the MIT License. See the <a href="LICENSE">LICENSE</a> file for details.</p>
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+ </main>