Update README.md
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README.md
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@@ -64,7 +64,19 @@ model = AutoModelForCausalLM.from_pretrained(
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tokenizer = AutoTokenizer.from_pretrained("NTQAI/Nxcode-CQ-7B-orpo")
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prompt = "
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messages = [
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{"role": "user", "content": prompt}
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]
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)
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tokenizer = AutoTokenizer.from_pretrained("NTQAI/Nxcode-CQ-7B-orpo")
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prompt = """Complete the following Python function:
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from typing import List
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def has_close_elements(numbers: List[float], threshold: float) -> bool:
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""" Check if in given list of numbers, are any two numbers closer to each other than
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given threshold.
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>>> has_close_elements([1.0, 2.0, 3.0], 0.5)
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False
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>>> has_close_elements([1.0, 2.8, 3.0, 4.0, 5.0, 2.0], 0.3)
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True
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"""
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"""
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messages = [
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{"role": "user", "content": prompt}
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]
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