Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wavlm
librispeech_asr
Generated from Trainer
wavlm_libri_finetune
Instructions to use patrickvonplaten/wavlm-libri-clean-100h-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/wavlm-libri-clean-100h-large 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-large")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("patrickvonplaten/wavlm-libri-clean-100h-large") model = AutoModelForCTC.from_pretrained("patrickvonplaten/wavlm-libri-clean-100h-large") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "eval_loss": 0.06008534133434296, | |
| "eval_runtime": 60.484, | |
| "eval_samples": 2703, | |
| "eval_samples_per_second": 44.69, | |
| "eval_steps_per_second": 2.794, | |
| "eval_wer": 0.04911584132936289 | |
| } |