Automatic Speech Recognition
Transformers
Safetensors
Sediq
whisper
formosanbank
formosan
endangered-languages
speech
asr
whisper-small
tacl
Instructions to use FormosanBank/formosan-asr-taroko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FormosanBank/formosan-asr-taroko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FormosanBank/formosan-asr-taroko")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("FormosanBank/formosan-asr-taroko") model = AutoModelForSpeechSeq2Seq.from_pretrained("FormosanBank/formosan-asr-taroko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c3727a03f67c8354153300f9cca4709e0629dc310870b6eabe0e1ed91c38707
- Size of remote file:
- 967 MB
- SHA256:
- ad09cd67b1bc5a9ed8e88d61e0747989ad68be749623d936f701a657f25181d2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.