Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Vietnamese
wav2vec2-bert
mozilla-foundation/common_voice_16_0
Generated from Trainer
Eval Results (legacy)
Instructions to use ylacombe/wav2vec2-common_voice-vi-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ylacombe/wav2vec2-common_voice-vi-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ylacombe/wav2vec2-common_voice-vi-demo")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Wav2Vec2BERTForCTC processor = AutoProcessor.from_pretrained("ylacombe/wav2vec2-common_voice-vi-demo") model = Wav2Vec2BERTForCTC.from_pretrained("ylacombe/wav2vec2-common_voice-vi-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K