Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use AdaCodruta/wav2vec2_common_voice17_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdaCodruta/wav2vec2_common_voice17_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AdaCodruta/wav2vec2_common_voice17_finetuning")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("AdaCodruta/wav2vec2_common_voice17_finetuning") model = AutoModelForCTC.from_pretrained("AdaCodruta/wav2vec2_common_voice17_finetuning") - Notebooks
- Google Colab
- Kaggle