Automatic Speech Recognition
Transformers
PyTorch
Chinese
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use thomas0104/large_v2_nan_tw_so_short_30s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thomas0104/large_v2_nan_tw_so_short_30s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="thomas0104/large_v2_nan_tw_so_short_30s")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("thomas0104/large_v2_nan_tw_so_short_30s") model = AutoModelForMultimodalLM.from_pretrained("thomas0104/large_v2_nan_tw_so_short_30s") - Notebooks
- Google Colab
- Kaggle
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