Automatic Speech Recognition
Transformers
Safetensors
Sakizaya
whisper
formosanbank
formosan
endangered-languages
speech
asr
whisper-small
tacl
Instructions to use FormosanBank/formosan-asr-sakizaya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FormosanBank/formosan-asr-sakizaya with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FormosanBank/formosan-asr-sakizaya")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("FormosanBank/formosan-asr-sakizaya") model = AutoModelForSpeechSeq2Seq.from_pretrained("FormosanBank/formosan-asr-sakizaya", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aef8b629efe3619716242dcc79e8ca71ae8f143cbddb68b0804cb0325cc68369
- Size of remote file:
- 967 MB
- SHA256:
- e720863211a010b9ee0c788bf76c0a9166e80b6e2ece6cc8bf3145d49c2114e3
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