Automatic Speech Recognition
Transformers
PyTorch
Belarusian
wav2vec2
audio
speech
Eval Results (legacy)
Instructions to use ales/wav2vec2-cv-be with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ales/wav2vec2-cv-be with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ales/wav2vec2-cv-be")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ales/wav2vec2-cv-be") model = AutoModelForCTC.from_pretrained("ales/wav2vec2-cv-be") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot