Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wavlm
librispeech_asr
Generated from Trainer
wavlm_libri_finetune
Instructions to use patrickvonplaten/wavlm-libri-clean-100h-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/wavlm-libri-clean-100h-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="patrickvonplaten/wavlm-libri-clean-100h-base")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("patrickvonplaten/wavlm-libri-clean-100h-base") model = AutoModelForCTC.from_pretrained("patrickvonplaten/wavlm-libri-clean-100h-base") - Notebooks
- Google Colab
- Kaggle