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@@ -26,7 +26,7 @@ English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian,
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  **Intended Use:**
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  Prominent use cases of LLMs in text-to-text generation include summarization, text classification, extraction, question-answering, and other long-context tasks. All Granite Base models are able to handle these tasks as they were trained on a large amount of data from various domains. Moreover, they can serve as baseline to create specialized models for specific application scenarios.
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- **Usage:**
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  You need to install transformer from source to use this checkpoint.
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  <!-- This is a simple example of how to use Granite-4.0-Tiny-Base-Preview model. -->
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  **Intended Use:**
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  Prominent use cases of LLMs in text-to-text generation include summarization, text classification, extraction, question-answering, and other long-context tasks. All Granite Base models are able to handle these tasks as they were trained on a large amount of data from various domains. Moreover, they can serve as baseline to create specialized models for specific application scenarios.
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+ **Installation:**
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  You need to install transformer from source to use this checkpoint.
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  <!-- This is a simple example of how to use Granite-4.0-Tiny-Base-Preview model. -->
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