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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ONNX + CTranslate2 (INT8) edge builds, with a measured RTF benchmark
#3 opened 6 days ago
by
gloomcheng
Request for standardized ASR benchmark dataset
#2 opened about 2 months ago
by
slammax