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fixed model name in how to section

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@@ -265,7 +265,7 @@ for Code Intelligence](https://)
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  Prominent enterprise use cases of LLMs in software engineering productivity include code generation, code explanation, code fixing, generating unit tests, generating documentation, addressing technical debt issues, vulnerability detection, code translation, and more. All Granite Code Base models, including the **20B parameter model**, are able to handle these tasks as they were trained on a large amount of code data from 116 programming languages.
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  ### Generation
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- This is a simple example of how to use **Granite-Code-Base-3B model**.
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  ```python
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  import torch
 
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  Prominent enterprise use cases of LLMs in software engineering productivity include code generation, code explanation, code fixing, generating unit tests, generating documentation, addressing technical debt issues, vulnerability detection, code translation, and more. All Granite Code Base models, including the **20B parameter model**, are able to handle these tasks as they were trained on a large amount of code data from 116 programming languages.
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  ### Generation
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+ This is a simple example of how to use **Granite-20B-Code-Base model**.
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  ```python
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  import torch