Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Russian
wav2vec2
audio
Generated from Trainer
hf-asr-leaderboard
mozilla-foundation/common_voice_8_0
robust-speech-event
speech
Eval Results (legacy)
Instructions to use RASMUS/wav2vec2-xlsr-1b-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RASMUS/wav2vec2-xlsr-1b-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="RASMUS/wav2vec2-xlsr-1b-ru")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("RASMUS/wav2vec2-xlsr-1b-ru") model = AutoModelForCTC.from_pretrained("RASMUS/wav2vec2-xlsr-1b-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 7000
Browse files
pytorch_model.bin
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runs/Feb06_09-49-04_job-041d8d44-0cd3-42cf-ac8e-d8d65293760e/events.out.tfevents.1644142205.job-041d8d44-0cd3-42cf-ac8e-d8d65293760e.140445.0
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