Automatic Speech Recognition
Transformers
Safetensors
Saisiyat
wav2vec2
formosanbank
formosan
endangered-languages
speech
asr
xlsr53
tacl
Instructions to use FormosanBank/formosan-asr-saisiyat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FormosanBank/formosan-asr-saisiyat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FormosanBank/formosan-asr-saisiyat")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("FormosanBank/formosan-asr-saisiyat") model = AutoModelForCTC.from_pretrained("FormosanBank/formosan-asr-saisiyat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2bb069e7856f3adeb13ef3e7a1df2103b519e4a30fb222255aa405d3c9cf6e7
- Size of remote file:
- 1.26 GB
- SHA256:
- c1fb355becaa03b31effb5bde521abdaf9f1c3e4860a44ceb936b5a5db4c8031
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