Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Guaraní
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use adrianSauer/wav2vec2-wer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adrianSauer/wav2vec2-wer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="adrianSauer/wav2vec2-wer")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("adrianSauer/wav2vec2-wer") model = AutoModelForCTC.from_pretrained("adrianSauer/wav2vec2-wer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature1965285 -
Training in progress, step 500
Verified signature6aa01a5
-
End of training
Verified signature7a7a24c -
Training in progress, step 500
Verified signature6487a8a
-
End of training
Verified signature0a21076 -
Training in progress, step 500
Verified signature9526bf5 -
initial commit
Verified signaturead76dc5