Text Generation
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text-generation-inference
mayank-mishra commited on
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add warning

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@@ -235,6 +235,15 @@ for Code Intelligence](https://)
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  - **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0).
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  ## Usage
 
 
 
 
 
 
 
 
 
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  ### Intended use
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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 **3B 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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  - **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0).
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  ## Usage
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+ > [!WARNING]
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+ > **You need to build transformers from source to use this model correctly.**
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+ > ```shell
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+ > git clone https://github.com/huggingface/transformers
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+ > cd transformers/
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+ > pip install ./
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+ > cd ..
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+ > ```
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+
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  ### Intended use
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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 **3B 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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