Update model card: Add text-generation pipeline tag

README.md

@@ -1,16 +1,17 @@
 ---
-library_name: transformers
-license: cc-by-sa-4.0
+base_model:
+- EQUES/JPharmatron-7B-base
 language:
 - en
 - ja
-base_model:
-- EQUES/JPharmatron-7B-base
+library_name: transformers
+license: cc-by-sa-4.0
 tags:
 - pharmacy
 - biology
 - chemistry
 - medical
+pipeline_tag: text-generation
 ---
 
 # JPharmatron-7B
@@ -28,18 +29,18 @@ JPharmatron-7B is a 7B large language model designed for pharmaceutical applicat
 
 The JPharmatron-7B is continually pre-trained using 8.8B tokens from Japanese and English datasets, based on Qwen2.5-7B. Compared to the JPharmatron-7B-base model, JPharmatron-7B has enhanced chat capabilities, obtained from Qwen2.5-7B-Instruct's chat vector.
 
-- **Developed by:** EQUES Inc.
-- **Funded by [optional]:** [GENIAC Project](https://www.meti.go.jp/policy/mono_info_service/geniac/index.html)
-- **Model type:** Causal decoder-only
-- **Language(s) (NLP):** Japanese, English
-- **License:** CC-BY-SA-4.0
+-   **Developed by:** EQUES Inc.
+-   **Funded by [optional]:** [GENIAC Project](https://www.meti.go.jp/policy/mono_info_service/geniac/index.html)
+-   **Model type:** Causal decoder-only
+-   **Language(s) (NLP):** Japanese, English
+-   **License:** CC-BY-SA-4.0
 
 ### Model Sources [optional]
 
 <!-- Provide the basic links for the model. -->
 
-- **Repository:** https://github.com/EQUES-Inc/pharma-LLM-eval
-- **Paper [optional]:** [A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP](https://arxiv.org/abs/2505.16661)
+-   **Repository:** https://github.com/EQUES-Inc/pharma-LLM-eval
+-   **Paper [optional]:** [A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP](https://arxiv.org/abs/2505.16661)
 
 ## Uses
 
@@ -95,4 +96,4 @@ See our preprint: [A Japanese Language Model and Three New Evaluation Benchmarks
 
 ## Model Card Authors [optional]
 
-[@shinnosukeono](https://shinnosukeono.github.io/)
+[@shinnosukeono](https://shinnosukeono.github.io/)