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Update README.md
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README.md
CHANGED
@@ -344,6 +344,46 @@ An inverse trend can be observed, with SLIMER emerging as the most effective in
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```python
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from vllm import LLM, SamplingParams
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</html>
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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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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>JSON Template</title>
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<style>
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body {
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font-family: Arial, sans-serif;
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line-height: 1.6;
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padding: 20px;
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}
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.description {
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font-weight: bold;
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color: #333;
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margin-bottom: 10px;
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}
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.template {
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background-color: #f0f0f0;
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padding: 10px;
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border-radius: 5px;
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margin-bottom: 20px;
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}
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.highlight-orange {
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color: orange;
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font-weight: bold;
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}
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</style>
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</head>
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<body>
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<div class="description">JSON SLIMER prompt</div>
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<div class="template">
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<pre>{
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"description": "SLIMER prompt",
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"prompt_input": "[INST] You are given a text chunk (delimited by triple quotes) and an instruction.\nRead the text and answer to the instruction in the end.\n\"\"\"\n{<span class="highlight-orange">input</span>}\n\"\"\"\nInstruction: Extract the Named Entities of type {<span class="highlight-orange">NE_name</span>} from the text chunk you have read. You are given a DEFINITION and some GUIDELINES.\nDEFINITION: {<span class="highlight-orange">definition</span>}\nGUIDELINES: {<span class="highlight-orange">guidelines</span>}\nReturn a JSON list of instances of this Named Entity type. Return an empty list if no instances are present.\n[/INST]\n"
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}</pre>
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</div>
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</body>
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</html>
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```python
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from vllm import LLM, SamplingParams
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