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Update README.md

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@@ -94,12 +94,12 @@ To load a specific checkpoint, use the revision argument as shown below, for exa
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  tokenizer = AutoTokenizer.from_pretrained(
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- f"LLM360/CrystalCoder",
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  revision="CrystalCoder_phase1_checkpoint_055500",
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  trust_remote_code=True
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  )
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  model = AutoModelForCausalLM.from_pretrained(
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- f"LLM360/CrystalCoder",
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  revision="CrystalCoder_phase1_checkpoint_055500",
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  trust_remote_code=True
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  )
 
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  tokenizer = AutoTokenizer.from_pretrained(
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+ "LLM360/CrystalCoder",
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  revision="CrystalCoder_phase1_checkpoint_055500",
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  trust_remote_code=True
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  )
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  model = AutoModelForCausalLM.from_pretrained(
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+ "LLM360/CrystalCoder",
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  revision="CrystalCoder_phase1_checkpoint_055500",
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  trust_remote_code=True
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  )