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
- Xet hash:
- 81f8dad9e7f72ef7ebd8bfd1d8a6545cdb6d102102f33123c2427f3e5f1c8d33
- Size of remote file:
- 2.99 kB
- SHA256:
- 16a69eb1dc7d0fd6fbada6d6bbfd9e4b781eb0c64524b8c51d51d08eeedb0251
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