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
Upload README.md
Browse files
README.md
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datasets:
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- common_voice
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datasets:
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- common_voice
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