Add pipeline tag and library name

This PR adds the `pipeline_tag` and `library_name` to the model card metadata to improve discoverability and clarity. The `pipeline_tag` is set to `text-generation` based on the model's description and usage. The `library_name` is set to `transformers` because the provided usage example utilizes the Hugging Face `transformers` library. Additionally, I've updated the model download table to include links for both Ling-Lite and Ling-Plus.

README.md

@@ -1,5 +1,7 @@
 ---
 license: mit
+library_name: transformers
+pipeline_tag: text-generation
 ---
 
 # Ling
@@ -22,14 +24,14 @@ As more developers and researchers engage with the platform, we can expect rapid
 
 ## Model Downloads
 
-You can download the following table to see the various parameters for your use case. If you are located in mainland China, we also provide the model on ModelScope.cn to speed up the download process.
+You can download the following models:
 
 <div align="center">
 
 |     **Model**      | **#Total Params** | **#Activated Params** | **Context Length** | **Download** |
 | :----------------: | :---------------: | :-------------------: | :----------------: | :----------: |
 | Ling-plus-base |       290B        |         28.8B         |        64K         |     [🤗 HuggingFace](https://huggingface.co/inclusionAI/Ling-plus-base) |
-| Ling-plus |       290B        |         28.8B         |        64K         |     [🤗 HuggingFace](https://huggingface.co/inclusionAI/Ling-plus)   |
+| Ling-lite |       16.8B        |         2.75B         |        64K         |     [🤗 HuggingFace](https://huggingface.co/inclusionAI/Ling-lite)   |
 </div>
 
 ## Evaluation