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README.md

@@ -19256,9 +19256,9 @@ tags:
 <h1 align="center">KaLM-Embedding</h1>
 
 
-**KaLM-Embedding** is a series of embedding models adapted from auto-regressive LLMs with superior training data
+**KaLM-Embedding** is a series of embedding models adapted from auto-regressive LLMs with superior training data.
 
-KaLM-embedding-multilingual-mini-v1 is trained from [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) with massive pre-training and fine-tuning data.
+KaLM-embedding-multilingual-mini is trained from [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) with massive weakly-supervised pre-training and supervised fine-tuning data.
 
 
 ## 📑 Open-source Plan
@@ -19273,6 +19273,13 @@ KaLM-embedding-multilingual-mini-v1 is trained from [Qwen/Qwen2-0.5B](https://hu
 
 
 
+## Requirements
+Since we have used the Qwen2 model, we advise you to install `transformers>=4.37.0`, or you might encounter the following error:
+```
+KeyError: 'qwen2'
+```
+
+
 ## Usage
 
 Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
@@ -19323,4 +19330,8 @@ embeddings = model.encode(
     show_progress_bar=True
     )
 print(embeddings)
-```
+```
+
+
+## Contact
+If you encounter any issue, feel free to contact us via the email: yanshek.woo@gmail.com