Automatic Speech Recognition
Transformers
Safetensors
qwen3_asr
confucius4
r2t2
asr
streaming
real-time
low-latency
speech-recognition
vllm
multilingual
Instructions to use netease-youdao/Confucius4-R2T2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use netease-youdao/Confucius4-R2T2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="netease-youdao/Confucius4-R2T2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("netease-youdao/Confucius4-R2T2") model = AutoModelForMultimodalLM.from_pretrained("netease-youdao/Confucius4-R2T2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Multilingual support details?
#3
by BuiDoan - opened
Thank you for sharing this great model.
Could you please direct me to the documentation regarding its multilingual capabilities?
Hi, thanks for your interest! You can quickly try the current multilingual performance on our demo page: https://r2t2.youdao.com/demo. The multilingual test results are still being organized, and we will provide a detailed explanation in our technical report. Please stay tuned.
Hykaruu changed discussion status to closed