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:
- 63954b1b9f844c5e16a12b72e302d9750b9bfbcc81f86ab8e8de33f216160d88
- Size of remote file:
- 3.64 kB
- SHA256:
- 2b78218ecb7d4932704318f2257ac662fee836470cd82b3faba3d2cce28a97be
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