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Update README.md

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@@ -57,4 +57,10 @@ print(model.config)
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  tokenizer = AutoTokenizer.from_pretrained(MODEL_ID, trust_remote_code=True)
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  ```
 
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  tokenizer = AutoTokenizer.from_pretrained(MODEL_ID, trust_remote_code=True)
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+ text = "An attention function can be described as mapping a query and a set of key-value pairs to an output, where the query, keys, values, and output are all vectors. The output is"
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+ inputs = tokenizer(text, return_tensors="pt")
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+ outputs = model.generate(**inputs.to(model.device), max_new_tokens=100)
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+ result = tokenizer.decode(outputs[0], skip_special_tokens=True)
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+ print(result)
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+
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  ```