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README.md
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@@ -139,7 +139,7 @@ model = AutoModelForCausalLM.from_pretrained(
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torch_dtype=torch.bfloat16,
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device_map="cuda"
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)
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tokenizer = AutoTokenizer.from_pretrained("
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CodeInstruction = "Develop a Solidity Contract for lottery which requires 1 eth for registration fee and the winner gets a reward of 10 eth."
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prompt = (
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torch_dtype=torch.bfloat16,
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device_map="cuda"
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)
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tokenizer = AutoTokenizer.from_pretrained("Chain-GPT/Solidity-LLM")
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CodeInstruction = "Develop a Solidity Contract for lottery which requires 1 eth for registration fee and the winner gets a reward of 10 eth."
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prompt = (
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