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README.md

@@ -15,50 +15,36 @@ library_name: sentence-transformers
 
 # Ko-Qwen: Korean Embedding Model
 
-This is a Korean-optimized embedding model fine-tuned from [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B) through a 6-stage progressive training pipeline.
+Korean-optimized embedding model based on [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B).
 
-## Usage
+## Model Details
+
+- **Parameters**: 600M
+- **Embedding Dimension**: 1024
+- **Max Sequence Length**: 512 tokens
+- **Language**: Korean (ko)
 
-Install the required library:
+## Usage
 
 ```bash
 pip install -U sentence-transformers
 ```
 
-Then load and use the model:
-
 ```python
 from sentence_transformers import SentenceTransformer
 
 # Load model
-model = SentenceTransformer("your-username/ko-qwen")
+model = SentenceTransformer("gihong99/qwen3-embedding-ko-v1")
 
 # Encode sentences
-sentences = [
-]
-
+sentences = ["인공지능은 미래를 바꿀 것입니다.", "오늘 날씨가 좋습니다."]
 embeddings = model.encode(sentences)
-print(embeddings.shape)  # (3, 1024)
 
 # Compute similarities
 similarities = model.similarity(embeddings, embeddings)
 print(similarities)
 ```
 
-## Training
-
-This model was trained through a 6-stage progressive pipeline
-
-
-## Framework Versions
-
-- Python: 3.11.9
-- Sentence Transformers: 3.3.1
-- Transformers: 4.54.1
-- PyTorch: 2.7.1+cu126
-- Datasets: 4.3.0
-- Tokenizers: 0.21.4
-
 ## License
 
 Apache 2.0