Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Chinese
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use thomas0104/whisper_medium_nan_tw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thomas0104/whisper_medium_nan_tw with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="thomas0104/whisper_medium_nan_tw")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("thomas0104/whisper_medium_nan_tw") model = AutoModelForSpeechSeq2Seq.from_pretrained("thomas0104/whisper_medium_nan_tw") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c6ff330494f34085ae0f4127bf1776e8d08c994072a30fcd197119015f42c62
- Size of remote file:
- 3.06 GB
- SHA256:
- f3b1fc0faa0858c941da97c8005820d6ef0c750cd62dbfcb4552d3c1b0e11d8f
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