Update pipeline tag to `text-ranking` and fix quickstart code

This PR updates the model card to improve its accuracy and usability:

1. **Metadata Update:** The `pipeline_tag` has been changed from `text-generation` to `text-ranking`. This more precisely reflects the model's primary function as a judge model designed for evaluating and comparing (ranking) responses from other language models. This update will enhance the model's discoverability on the Hugging Face Hub, allowing users to easily find it when filtering for `text-ranking` capabilities (e.g., via `https://huggingface.co/models?pipeline_tag=text-ranking`).

2. **Quickstart Code Fix:** A minor bug in the Python quickstart example has been resolved. The variables `model_name` were replaced with `model_path` in the `AutoModelForCausalLM.from_pretrained` and `AutoTokenizer.from_pretrained` calls. This ensures the sample code is directly runnable and correctly loads the model, preventing a `NameError` for users trying to replicate the example.

These changes contribute to a more accurate and user-friendly model card.

README.md

@@ -1,10 +1,10 @@
 ---
-license: apache-2.0
-pipeline_tag: text-generation
 library_name: transformers
+license: apache-2.0
+pipeline_tag: text-ranking
 tags:
-  - llm-as-judge
-  - qwen2
+- llm-as-judge
+- qwen2
 ---
 
 # CompassJudger-2
@@ -59,11 +59,11 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 model_path = "opencompass/CompassJudger-2-7B-Instruct"
 
 model = AutoModelForCausalLM.from_pretrained(
-    model_name,
+    model_path,
     torch_dtype="auto",
     device_map="auto"
 )
-tokenizer = AutoTokenizer.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_path)
 
 # Example: Pair-wise Comparison
 prompt = """
@@ -125,7 +125,7 @@ CompassJudger-2 sets a new state-of-the-art for judge models, outperforming gene
 | Skywork-Critic-Llama-3.1-70B       |     52.41      |   50.65    |   65.50   |    93.30    |   65.47   |
 | RISE-Judge-Qwen2.5-32B             |     56.42      |   63.87    |   73.70   |    92.70    |   71.67   |
 | **CompassJudger-2-32B-Instruct**   |   **62.21**   | **65.48**  |   72.98   |  **92.62**  | **73.32** |
-| **General Models (for reference)** |                |            |           |             |           |
+| **General Models (for reference)** |                |            |           |             |           |\
 | Qwen2.5-32B-Instruct               |     62.97      |   59.84    |   74.99   |    85.61    |   70.85   |
 | DeepSeek-V3-0324                   |     64.43      |   59.68    |   78.16   |    85.17    |   71.86   |
 | Qwen3-235B-A22B                    |     61.40      |   65.97    |   75.59   |    84.68    |   71.91   |