Instructions to use kehanlu/mandarin-wav2vec2-aishell1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kehanlu/mandarin-wav2vec2-aishell1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kehanlu/mandarin-wav2vec2-aishell1")# Load model directly from transformers import AutoProcessor, Wav2Vec2ForEspnetCTC processor = AutoProcessor.from_pretrained("kehanlu/mandarin-wav2vec2-aishell1") model = Wav2Vec2ForEspnetCTC.from_pretrained("kehanlu/mandarin-wav2vec2-aishell1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot