Add library_name and pipeline_tag

README.md

@@ -1,18 +1,20 @@
 ---
-license: llama2
 datasets:
 - RUCKBReasoning/TableLLM-SFT
 language:
 - en
+license: llama2
 tags:
 - Table
 - QA
 - Code
+pipeline_tag: table-question-answering
+library_name: transformers
 ---
 
 # TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
 
-| **[Paper](https://arxiv.org/abs/2403.19318)** | **[Training set](https://huggingface.co/datasets/RUCKBReasoning/TableLLM-SFT)** | **[Github](https://github.com/RUCKBReasoning/TableLLM)** | **[Homepage](https://tablellm.github.io/)** |
+| **[Paper](https://arxiv.org/abs/2403.19318)** | **[Training set](https://huggingface.co/datasets/RUCKBReasoning/TableLLM-SFT)** | **[Github](https://github.com/TableLLM/TableLLM)** | **[Homepage](https://tablellm.github.io/)** |
 
 We present **TableLLM**, a powerful large language model designed to handle tabular data manipulation tasks efficiently, whether they are embedded in spreadsheets or documents, meeting the demands of real office scenarios. The TableLLM series encompasses two distinct scales: [TableLLM-7B](https://huggingface.co/RUCKBReasoning/TableLLM-7b) and [TableLLM-13B](https://huggingface.co/RUCKBReasoning/TableLLM-13b), which are fine-tuned based on [CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) and [CodeLlama-13b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-13b-Instruct-hf).
 
@@ -92,4 +94,146 @@ The prompt template for direct text answer generation on short tables.
 ### [Solution][INST/]
 ````
 
-For more details about how to use TableLLM, please refer to our GitHub page: <https://github.com/TableLLM/TableLLM>
+For more details about how to use TableLLM, please refer to our GitHub page: <https://github.com/TableLLM/TableLLM>
+
+# File information
+
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