Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Chinese
wav2vec2
pretraining
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use wbbbbb/wav2vec2-large-chinese-zh-cn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wbbbbb/wav2vec2-large-chinese-zh-cn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="wbbbbb/wav2vec2-large-chinese-zh-cn")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("wbbbbb/wav2vec2-large-chinese-zh-cn") model = AutoModelForMultimodalLM.from_pretrained("wbbbbb/wav2vec2-large-chinese-zh-cn") - Notebooks
- Google Colab
- Kaggle
Ctrl+K