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