Automatic Speech Recognition
Transformers
PyTorch
Russian
speech-encoder-decoder
audio
speech
common_voice
SberDevices/Golos
sova_rudevices
rulibrispeech
Eval Results (legacy)
Instructions to use bond005/wav2vec2-mbart50-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bond005/wav2vec2-mbart50-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bond005/wav2vec2-mbart50-ru")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("bond005/wav2vec2-mbart50-ru") model = AutoModelForSpeechSeq2Seq.from_pretrained("bond005/wav2vec2-mbart50-ru") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot