Instructions to use HiTZ/mdeberta-expl-extraction-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/mdeberta-expl-extraction-multi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HiTZ/mdeberta-expl-extraction-multi")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("HiTZ/mdeberta-expl-extraction-multi") model = AutoModelForQuestionAnswering.from_pretrained("HiTZ/mdeberta-expl-extraction-multi") - Notebooks
- Google Colab
- Kaggle
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README.md
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- Datasets 2.16.1
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- Tokenizers 0.15.2
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**Contact**: [Iakes Goenaga](http://www.hitz.eus/es/node/65) and [Rodrigo Agerri](https://ragerri.github.io/)
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HiTZ Center - Ixa, University of the Basque Country UPV/EHU
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- Datasets 2.16.1
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- Tokenizers 0.15.2
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## Citation
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If you use this model please **cite the following paper**:
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```bibtex
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@misc{goenaga2023explanatory,
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title={Explanatory Argument Extraction of Correct Answers in Resident Medical Exams},
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author={Iakes Goenaga and Aitziber Atutxa and Koldo Gojenola and Maite Oronoz and Rodrigo Agerri},
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year={2023},
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eprint={2312.00567},
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archivePrefix={arXiv}
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}
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```
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**Contact**: [Iakes Goenaga](http://www.hitz.eus/es/node/65) and [Rodrigo Agerri](https://ragerri.github.io/)
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HiTZ Center - Ixa, University of the Basque Country UPV/EHU
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