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:
- 38a2982b0428ffec8fa1ceab06958776a59d5bc0302a98f9e285ea8b612951bc
- Size of remote file:
- 1.26 GB
- SHA256:
- 4fb4e34572862ffa9bc01483e2065fecead1fda4941fb7fbd166d574afeae5fc
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