Update README.md

README.md

@@ -1,4 +1,11 @@
-# SoriSpeech-4B-Omni
+---
+language:
+- ko
+- en
+base_model:
+- Qwen/Qwen3-4B-Instruct-2507
+---
+# Sori-4B
 
 Speech-to-Text model combining:
 - **Audio Encoder**: Qwen3-Omni-30B-A3B-Instruct (pretrained weights)
@@ -20,12 +27,12 @@ import torchaudio
 
 # Load model
 model = SoriSpeechForConditionalGeneration.from_pretrained(
-    "Seungyoun/SoriSpeechLLM-4B-Omni",
+    "Seungyoun/Sori-4B",
     torch_dtype=torch.bfloat16,
     device_map="auto",
     trust_remote_code=True,
 )
-tokenizer = AutoTokenizer.from_pretrained("Seungyoun/SoriSpeechLLM-4B-Omni")
+tokenizer = AutoTokenizer.from_pretrained("Seungyoun/Sori-4B")
 
 # Process audio
 audio, sr = torchaudio.load("speech.wav")
@@ -44,4 +51,4 @@ mel_spec = torch.log(mel_transform(audio) + 1e-6)
 
 ## License
 
-Apache 2.0 (following Qwen3-Omni and Qwen3 licenses)
+Apache 2.0 (following Qwen3-Omni and Qwen3 licenses)