Automatic Speech Recognition
Transformers
PyTorch
Turkish
wav2vec2
mozilla-foundation/common_voice_13_0
Generated from Trainer
Eval Results (legacy)
Instructions to use hippopotam/wav2vec2-common_voice13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hippopotam/wav2vec2-common_voice13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hippopotam/wav2vec2-common_voice13")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hippopotam/wav2vec2-common_voice13") model = AutoModelForCTC.from_pretrained("hippopotam/wav2vec2-common_voice13") - Notebooks
- Google Colab
- Kaggle
Ctrl+K