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README.md
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<!-- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/62cd5057674cdb524450093d/1hzxoPwqkBJXshKVVe6_9.png) -->
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![image/png](granite-3_0-language-models_Group_1.png)
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# Granite-3.0-2B-Base
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## Usage
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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 more. All Granite Base models are able to handle these tasks as they were trained on a large amount of data from various domains. Moreover,
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### Generation
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This is a simple example of how to use **Granite-3.0-2B-Base** model.
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# Granite-3.0-2B-Base
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## Usage
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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 more. 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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### Generation
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This is a simple example of how to use **Granite-3.0-2B-Base** model.
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