Add pipeline_tag and library_name to metadata

Hi! I'm Niels from the community science team at Hugging Face.

This PR improves the model card by adding `pipeline_tag: text-generation` and `library_name: transformers` to the metadata. These additions help users discover the model through filtering on the Hub and enable the automated code snippet widget for usage with the Transformers library.

The existing documentation, including the usage examples and evaluation results, is already quite comprehensive, so I have preserved those sections.

README.md

@@ -1,10 +1,12 @@
 ---
-license: apache-2.0
+base_model:
+- Qwen/Qwen3-8B
 language:
 - zh
 - en
-base_model:
-- Qwen/Qwen3-8B
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
 ---
 
 # TableGPT-R1
@@ -180,13 +182,13 @@ Inquiries and feedback are welcome at [j.zhao@zju.edu.cn](mailto:j.zhao@zju.edu.
 
 TableGPT-R1 demonstrates substantial advancements over its predecessor, TableGPT2-7B, particularly in table comprehension and reasoning capabilities. Detailed comparisons are as follows:
 
-* **TableBench Benchmark**: TableGPT-R1 demonstrates strong performance. It achieves an average gain of 6.9\% over the Qwen3-8B across four core sub-tasks. Compared to the TableGPT2-7B, it records an average improvement of 3.12\%, validating its enhanced reasoning capability despite a trade-off in the PoT task.
+* **TableBench Benchmark**: TableGPT-R1 demonstrates strong performance. It achieves an average gain of 6.9% over the Qwen3-8B across four core sub-tasks. Compared to the TableGPT2-7B, it records an average improvement of 3.12%, validating its enhanced reasoning capability despite a trade-off in the PoT task.
 
-* **Natural Language to SQL**: TableGPT-R1 exhibits superior generalization capabilities. While showing consistent improvements over Qwen3-8B on Spider 1.0 (+0.66\%) and BIRD (+1.5\%), it represents a significant leap compared to TableGPT2-7B, registering dramatic performance increases of 12.35\% and 13.89\%, respectively.
+* **Natural Language to SQL**: TableGPT-R1 exhibits superior generalization capabilities. While showing consistent improvements over Qwen3-8B on Spider 1.0 (+0.66%) and BIRD (+1.5%), it represents a significant leap compared to TableGPT2-7B, registering dramatic performance increases of 12.35% and 13.89%, respectively.
 
-* **RealHitBench Test**: In this highly challenging test, TableGPT-R1 achieved outstanding results, particularly surpassing the top closed-source baseline model GPT-4o. This highlights its powerful capabilities in hierarchical table reasoning. Quantitative analysis shows that TableGPT-R1 matches or outperforms Qwen3-8B across subtasks, achieving an average improvement of 11.81\%, with a remarkable peak gain of 31.17\% in the Chart Generation task. Furthermore, compared to TableGPT2-7B, the model represents a significant advancement, registering an average improvement of 19.85\% across all subtasks.
+* **RealHitBench Test**: In this highly challenging test, TableGPT-R1 achieved outstanding results, particularly surpassing the top closed-source baseline model GPT-4o. This highlights its powerful capabilities in hierarchical table reasoning. Quantitative analysis shows that TableGPT-R1 matches or outperforms Qwen3-8B across subtasks, achieving an average improvement of 11.81%, with a remarkable peak gain of 31.17% in the Chart Generation task. Furthermore, compared to TableGPT2-7B, the model represents a significant advancement, registering an average improvement of 19.85% across all subtasks.
 
-* **Internal Benchmark**: Evaluation further attests to the model's robustness. TableGPT-R1 surpasses Qwen3-8B by substantial margins: 10.8\% on the Table Info and 8.8\% on the Table Path.
+* **Internal Benchmark**: Evaluation further attests to the model's robustness. TableGPT-R1 surpasses Qwen3-8B by substantial margins: 10.8% on the Table Info and 8.8% on the Table Path.
 
 
 | Benchmark | Task | Met. | Q3-8B | T-LLM | Llama | T-R1-Z | TGPT2 | **TGPT-R1** | Q3-14B | Q3-32B | Q3-30B | QwQ | GPT-4o | DS-V3 | Q-Plus | vs.Q3-8B | vs.TGPT2 |