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README.md
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model-index:
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- name: multi_rebuttal_neoplasm_mbert
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# multi_rebuttal_neoplasm_mbert
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on
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## Model description
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- Transformers 4.40.0.dev0
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.2
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model-index:
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- name: multi_rebuttal_neoplasm_mbert
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results: []
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datasets:
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- HiTZ/multilingual-abstrct
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language:
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- en
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- es
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- fr
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- it
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metrics:
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- f1
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pipeline_tag: token-classification
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# multi_rebuttal_neoplasm_mbert
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) for the argument mining task on AbstRCT data in English, Spanish, French and Italian.
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## Model description
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- Transformers 4.40.0.dev0
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.2
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