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
| from datasets import load_dataset | |
| dataset = load_dataset("audiofolder", data_dir="shortDir_20/") | |
| dataset.push_to_hub("thomas0104/nan_tw_so_short_20s") | |