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Update README.md

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@@ -38,7 +38,7 @@ import torch
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  tokenizer = AutoTokenizer.from_pretrained("Zyphra/Zamba-7B-v1-phase1")
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  model = AutoModelForCausalLM.from_pretrained("Zyphra/Zamba-7B-v1-phase1", device_map="auto", torch_dtype=torch.bfloat16)
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- input_text = "A funny prompt would be "
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  input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
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  outputs = model.generate(**input_ids, max_new_tokens=100)
 
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  tokenizer = AutoTokenizer.from_pretrained("Zyphra/Zamba-7B-v1-phase1")
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  model = AutoModelForCausalLM.from_pretrained("Zyphra/Zamba-7B-v1-phase1", device_map="auto", torch_dtype=torch.bfloat16)
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+ input_text = "What factors contributed to the fall of the Roman Empire?"
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  input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
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  outputs = model.generate(**input_ids, max_new_tokens=100)