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
| timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region | |
| 2021-12-17T13:14:59,932ce321-f719-4004-a9b7-606302d9b918,codecarbon,2188.4556169509888,0.29442188843724354,0.8004945308244794,USA,USA,nan,Y,aws,us-east-1 | |