Automatic Speech Recognition
Transformers
Safetensors
Min Nan Chinese
Chinese
whisper
taiwanese-hokkien
taigi
low-resource-language
fine-tuned
Instructions to use MediaTek-Research/Breeze-ASR-26 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MediaTek-Research/Breeze-ASR-26 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MediaTek-Research/Breeze-ASR-26")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MediaTek-Research/Breeze-ASR-26") model = AutoModelForSpeechSeq2Seq.from_pretrained("MediaTek-Research/Breeze-ASR-26") - Notebooks
- Google Colab
- Kaggle
Update README.md
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After more than two years of dedicated effort, we (Speech AI Research Center@NYCU and MediaTek Research) have achieved initial Taigi-to-Chinese ASR results approaching commercial-grade performance, while Taigi-to-Taibun ASR versions are also under development. We sincerely thank the Ministry of Economic Affairs for its support in facilitating approval of the NVIDIA Taipei-1 computing resource application, Wistron for sponsoring two DGX-H100 systems, and Bronci for providing various forms of support.
dsshiu changed pull request status to merged