Update readme

README.md

@@ -29,7 +29,7 @@ tags:
 
 **Youtu-Embedding** is a state-of-the-art, general-purpose text embedding model developed by Tencent Youtu Lab. It delivers exceptional performance across a wide range of natural language processing tasks, including Information Retrieval (IR), Semantic Textual Similarity (STS), Clustering, Reranking, and Classification.
 
-  - **Top-Ranked Performance**: Achieved the #1 score of **77.46** on the authoritative CMTEB (Chinese Massive Text Embedding Benchmark) as of September 2025, demonstrating its powerful and robust text representation capabilities.
+  - **Top-Ranked Performance**: Achieved the #1 score of **77.58** on the authoritative CMTEB (Chinese Massive Text Embedding Benchmark) as of September 2025, demonstrating its powerful and robust text representation capabilities.
 
   - **Innovative Training Framework**: Features a Collaborative-Discriminative Fine-tuning Framework designed to resolve the "negative transfer" problem in multi-task learning. This is accomplished through a unified data format, task-differentiated loss functions, and a dynamic single-task sampling mechanism.
 
@@ -48,13 +48,13 @@ tags:
 #### 1. Using `transformers`
 **📦 Installation**
 ```bash
-pip install transformers==4.51.3 liger_kernel==0.5.4
+pip install transformers==4.51.3
 ```
 **⚙️ Usage**
 ```python
 import torch
 import numpy as np
-from transformers import AutoModel, AutoModelForCausalLM, AutoTokenizer
+from transformers import AutoModel, AutoTokenizer
 
 
 class LLMEmbeddingModel():