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
- Xet hash:
- d82a7035a3d57b92a1fb02feb20fcba2c3141b302a5b5a173407007060d3930a
- Size of remote file:
- 5.3 kB
- SHA256:
- 404f80a4e22a656e2c87fe68b3115c28b9d2b461706c5d72cd3aaa6e87b332c5
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