Automatic Speech Recognition
Transformers
PyTorch
Russian
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use bond005/wav2vec2-large-ru-golos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bond005/wav2vec2-large-ru-golos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bond005/wav2vec2-large-ru-golos")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bond005/wav2vec2-large-ru-golos") model = AutoModelForCTC.from_pretrained("bond005/wav2vec2-large-ru-golos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
sample rate
#5
by inikishev - opened