Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Chinese
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use MatthewMxy/CNAudio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatthewMxy/CNAudio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MatthewMxy/CNAudio")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MatthewMxy/CNAudio") model = AutoModelForSpeechSeq2Seq.from_pretrained("MatthewMxy/CNAudio") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e62776fbbb048154198f6aabf6405292927d76bad5031a2bd1f296217714d96
- Size of remote file:
- 4.79 kB
- SHA256:
- 1d5716b70607fd484a57150b934349820972748b020ae3619ed84f2d58376b87
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