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README.md
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@@ -7,8 +7,7 @@ model_name = "minpeter/Llama-3.2-1B-chatml-tool-v3"
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model = AutoModelForCausalLM.from_pretrained(model_name)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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input_text = """
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<|im_start|>system
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You are a function calling AI model. You are provided with function signatures within <tools> </tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions.
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<tools>
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[{"function": {"description": "Get the current weather in a given location", "name": "get_current_weather", "parameters": {"properties": {"location": {"description": "The city and state, e.g. San Francisco, CA", "type": "string"}, "unit": {"enum": ["celsius", "fahrenheit"], "type": "string"}}, "required": ["location"], "type": "object"}}, "type": "function"}]
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model = AutoModelForCausalLM.from_pretrained(model_name)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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input_text = """<|im_start|>system
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You are a function calling AI model. You are provided with function signatures within <tools> </tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions.
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<tools>
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[{"function": {"description": "Get the current weather in a given location", "name": "get_current_weather", "parameters": {"properties": {"location": {"description": "The city and state, e.g. San Francisco, CA", "type": "string"}, "unit": {"enum": ["celsius", "fahrenheit"], "type": "string"}}, "required": ["location"], "type": "object"}}, "type": "function"}]
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