Improve model card: Add pipeline tag, language, and descriptive tags, and paper link
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by
nielsr
HF Staff
- opened
README.md
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library_name: transformers
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---
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# Model Card
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<!-- Provide a quick summary of what the model is/does. -->
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Our **JpharmaBERT (large)** is a continually pre-trained version of the BERT model ([tohoku-nlp/bert-large-japanese-v2](https://huggingface.co/tohoku-nlp/bert-large-japanese-v2)), further trained on pharmaceutical data — the same dataset used for [eques/jpharmatron](https://huggingface.co/EQUES/JPharmatron-7B).
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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```python
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library_name: transformers
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pipeline_tag: fill-mask
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language:
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- ja
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- en
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tags:
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- bert
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- japanese
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- pharmaceutical
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- biomedical
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Paper: [A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP](https://huggingface.co/papers/2505.16661)
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# Model Card
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<!-- Provide a quick summary of what the model is/does. -->
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Our **JpharmaBERT (large)** is a continually pre-trained version of the BERT model ([tohoku-nlp/bert-large-japanese-v2](https://huggingface.co/tohoku-nlp/bert-large-japanese-v2)), further trained on pharmaceutical data — the same dataset used for [eques/jpharmatron](https://huggingface.co/EQUES/JPharmatron-7B).
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# Example Usage
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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```python
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