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README.md
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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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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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