Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Bashkir
wav2vec2
Generated from Trainer
hf-asr-leaderboard
mozilla-foundation/common_voice_7_0
robust-speech-event
Eval Results (legacy)
Instructions to use AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_opt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_opt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_opt")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_opt") model = AutoModelForCTC.from_pretrained("AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_opt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload test.txt
#3
by fount76 - opened
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AigizK changed pull request status to closed