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Update README.md

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@@ -17,9 +17,9 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
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  if __name__ == "__main__":
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  PROMPT = "def square_sum(xs):\n return sum(x * x for x in xs)\n\nsquare_sum([1, 2, 3])\n"
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- tok = AutoTokenizer.from_pretrained("circuit-sparsity", trust_remote_code=True)
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  model = AutoModelForCausalLM.from_pretrained(
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- "circuit-sparsity",
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  trust_remote_code=True,
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  torch_dtype="auto",
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  )
 
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  if __name__ == "__main__":
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  PROMPT = "def square_sum(xs):\n return sum(x * x for x in xs)\n\nsquare_sum([1, 2, 3])\n"
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+ tok = AutoTokenizer.from_pretrained("openai/circuit-sparsity", trust_remote_code=True)
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  model = AutoModelForCausalLM.from_pretrained(
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+ "openai/circuit-sparsity",
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  trust_remote_code=True,
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  torch_dtype="auto",
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  )