Create README.md
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README.md
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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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tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
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model = GPT2LMHeadModel.from_pretrained('gpt2')
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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>
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