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README.md
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@@ -30,8 +30,9 @@ We are thrilled to introduce a specialised suite of **68 large language models (
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Stay tuned for upcoming updates and new features for FinText. We expect to launch stages 2 and 3 within the next 9 months. 🎉
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<strong>Models are available for download under the Creative Commons Attribution Non Commercial 4.0 license (cc-by-nc-4.0), which prohibits any commercial use.</strong>
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</div> <div style="font-size: 0.8em; margin-top: 20px; text-align: justify;"> This project is supported by several key resources and institutions. We would like to acknowledge the invaluable assistance provided by Research IT and the use of the Computational Shared Facility at The University of Manchester. The project also benefited from the resources of the N8 Centre of Excellence in Computationally Intensive Research (N8 CIR), supported by the N8 research partnership and the Engineering and Physical Sciences Research Council (EPSRC) under Grant No. EP/T022167/1. The N8 CIR is coordinated by the Universities of Durham, Manchester, and York. Additionally, we are grateful for the financial support provided by Digital Futures at The University of Manchester, the Alan Turing Institute, and the Alliance Manchester Business School (AMBS). We also appreciate the internal server access granted by AMBS for the successful completion of this study. </div>
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Stay tuned for upcoming updates and new features for FinText. We expect to launch stages 2 and 3 within the next 9 months. 🎉
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<div style="text-align: center; margin-top: 10px;">
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<strong>Models are available for download under the Creative Commons Attribution Non Commercial 4.0 license (cc-by-nc-4.0), which prohibits any commercial use.</strong>
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</div> <div style="font-size: 0.8em; margin-top: 20px; text-align: justify;"> This project is supported by several key resources and institutions. We would like to acknowledge the invaluable assistance provided by Research IT and the use of the Computational Shared Facility at The University of Manchester. The project also benefited from the resources of the N8 Centre of Excellence in Computationally Intensive Research (N8 CIR), supported by the N8 research partnership and the Engineering and Physical Sciences Research Council (EPSRC) under Grant No. EP/T022167/1. The N8 CIR is coordinated by the Universities of Durham, Manchester, and York. Additionally, we are grateful for the financial support provided by Digital Futures at The University of Manchester, the Alan Turing Institute, and the Alliance Manchester Business School (AMBS). We also appreciate the internal server access granted by AMBS for the successful completion of this study. </div>
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