Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Russian
wav2vec2
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use internalhell/wav2vec2-large-ru-5ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internalhell/wav2vec2-large-ru-5ep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="internalhell/wav2vec2-large-ru-5ep")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("internalhell/wav2vec2-large-ru-5ep") model = AutoModelForCTC.from_pretrained("internalhell/wav2vec2-large-ru-5ep", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
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