add

README.md

@@ -12,11 +12,11 @@ tags:
   - arxiv:2602.10934
 ---
 
-# Moss-Audio-Tokenizer-V2
+# Moss-Audio-Tokenizer-v2
 
 This is the code for the 48khz stereo version of MOSS-Audio-Tokenizer presented in [MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models](https://arxiv.org/abs/2602.10934). 
 
-**MOSS-Audio-Tokenizer-V2** is a unified discrete audio tokenizer based on the **Cat** (**C**ausal **A**udio **T**okenizer with **T**ransformer) architecture. Scaling to 2 billion parameters, it functions as a unified discrete interface, delivering both lossless-quality reconstruction and high-level semantic alignment.
+**MOSS-Audio-Tokenizer-v2** is a unified discrete audio tokenizer based on the **Cat** (**C**ausal **A**udio **T**okenizer with **T**ransformer) architecture. Scaling to 2 billion parameters, it functions as a unified discrete interface, delivering both lossless-quality reconstruction and high-level semantic alignment.
 
 **Key Features:**
 
@@ -46,7 +46,7 @@ loaded with `trust_remote_code=True`.
 
 ## Intended Use
 
-MOSS-Audio-Tokenizer-V2 is intended for research and development on audio tokenization, neural codec reconstruction,
+MOSS-Audio-Tokenizer-v2 is intended for research and development on audio tokenization, neural codec reconstruction,
 native audio foundation models, speech/audio understanding, speech generation, and related downstream modeling. It can
 encode 48 kHz stereo waveforms into discrete audio codes and decode those codes back to waveforms.
 
@@ -93,7 +93,7 @@ import torch
 from transformers import AutoModel
 import torchaudio
 
-repo_id = "OpenMOSS-Team/MOSS-Audio-Tokenizer-V2"
+repo_id = "OpenMOSS-Team/MOSS-Audio-Tokenizer-v2"
 model = AutoModel.from_pretrained(repo_id, trust_remote_code=True).eval()
 
 audio_path = "demo/demo_gt.wav"  # replace with your own 48 kHz stereo audio path if needed
@@ -146,7 +146,7 @@ The quantizer always runs in fp32.
 import torch
 from transformers import AutoModel
 
-repo_id = "OpenMOSS-Team/MOSS-Audio-Tokenizer-V2"
+repo_id = "OpenMOSS-Team/MOSS-Audio-Tokenizer-v2"
 model = AutoModel.from_pretrained(repo_id, trust_remote_code=True).eval()
 audio = torch.randn(2, 48000 * 6)  # dummy stereo waveform
 
@@ -188,5 +188,5 @@ If you use this code or result in your paper, please cite our work as:
 ```
 
 ## License
-MOSS-Audio-Tokenizer-V2 is released under the Apache 2.0 license. See `LICENSE` for the full license text.
+MOSS-Audio-Tokenizer-v2 is released under the Apache 2.0 license. See `LICENSE` for the full license text.