Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wavlm
Generated from Trainer
Instructions to use wrice/wavlm-large-timit-punctuation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wrice/wavlm-large-timit-punctuation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="wrice/wavlm-large-timit-punctuation")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("wrice/wavlm-large-timit-punctuation") model = AutoModelForCTC.from_pretrained("wrice/wavlm-large-timit-punctuation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89059e9294172cd188ff27243a964220b79906d79c22eda03ab32f19ab44bc7f
- Size of remote file:
- 1.26 GB
- SHA256:
- fb2e0a7e711467f682a2294b9cdb5acf854244178c15880d61ecfe603503ada1
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