Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Chinese
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use thomas0104/whisper-large-v2-nan-tw-only-char with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thomas0104/whisper-large-v2-nan-tw-only-char with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="thomas0104/whisper-large-v2-nan-tw-only-char")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("thomas0104/whisper-large-v2-nan-tw-only-char") model = AutoModelForMultimodalLM.from_pretrained("thomas0104/whisper-large-v2-nan-tw-only-char") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6668bac271c639fd7e62aa6f8145f37f288060e94a89bc7f282c715ce56c0d73
- Size of remote file:
- 6.17 GB
- SHA256:
- 4ef4e1637cc218a82689705eefba3dfb4c61dd4754c6462e1492eb4c9dee2738
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