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README.md
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- text: "We used our liquidity tools to make funding available to banks that might need it."
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## CentralBankRoBERTa
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CentralBankRoBERTA is a large language model. It combines an economic agent classifier that distinguishes five basic macroeconomic agents with a binary [sentiment classifier](Moritz-Pfeifer/CentralBankRoBERTa-sentiment-classifier) that identifies the emotional content of sentences in central bank communications.
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- text: "We used our liquidity tools to make funding available to banks that might need it."
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---
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<table>
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<tr>
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<td><img src="https://i.postimg.cc/HLqPqkyk/Central-Bank-Ro-BERTa-logos-black.png" width="250" height="250"> </td>
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<td>
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<h1 style="font-size: 36px; font-weight: bold; margin: 0;">CentralBankRoBERTa</h1>
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<p style="font-size: 18px; margin: 0;">A Fine-Tuned Large Language Model for Central Bank Communications</p>
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</td>
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</tr>
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</table>
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## CentralBankRoBERTa
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CentralBankRoBERTA is a large language model. It combines an economic agent classifier that distinguishes five basic macroeconomic agents with a binary [sentiment classifier](Moritz-Pfeifer/CentralBankRoBERTa-sentiment-classifier) that identifies the emotional content of sentences in central bank communications.
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