Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Vietnamese
wav2vec2
audio
speech
Eval Results (legacy)
Instructions to use dragonSwing/wav2vec2-base-vietnamese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dragonSwing/wav2vec2-base-vietnamese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="dragonSwing/wav2vec2-base-vietnamese")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("dragonSwing/wav2vec2-base-vietnamese") model = AutoModelForCTC.from_pretrained("dragonSwing/wav2vec2-base-vietnamese") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2 opened over 2 years ago
by
librarian-bot