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README.md
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---
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library_name: transformers
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---
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```python
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import torch
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main()
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```
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---
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library_name: transformers
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license: mit
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base_model:
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- answerdotai/ModernBERT-base
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---
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**Reference**:
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```
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@inproceedings{xu-etal-2025-radeval,
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title = "{R}ad{E}val: A framework for radiology text evaluation",
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author = "Xu, Justin and
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Zhang, Xi and
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Abderezaei, Javid and
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Bauml, Julie and
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Boodoo, Roger and
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Haghighi, Fatemeh and
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Ganjizadeh, Ali and
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Brattain, Eric and
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Van Veen, Dave and
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Meng, Zaiqiao and
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Eyre, David W and
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Delbrouck, Jean-Benoit",
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editor = {Habernal, Ivan and
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Schulam, Peter and
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Tiedemann, J{\"o}rg},
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booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
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month = nov,
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year = "2025",
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address = "Suzhou, China",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2025.emnlp-demos.40/",
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doi = "10.18653/v1/2025.emnlp-demos.40",
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pages = "546--557",
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ISBN = "979-8-89176-334-0",
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}
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```
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**Inference**:
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```python
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import torch
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main()
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```
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