Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Russian
wav2vec2
Generated from Trainer
hf-asr-leaderboard
robust-speech-event
Eval Results (legacy)
Instructions to use emre/wav2vec2-xls-r-300m-Russian-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emre/wav2vec2-xls-r-300m-Russian-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="emre/wav2vec2-xls-r-300m-Russian-small")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("emre/wav2vec2-xls-r-300m-Russian-small") model = AutoModelForCTC.from_pretrained("emre/wav2vec2-xls-r-300m-Russian-small") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2 opened over 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot