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:
- ef7729bb748f1909dbc2460411d99520e03e0b164e209d34361af67aadb2b825
- Size of remote file:
- 3.25 kB
- SHA256:
- 7964ea1ed32279b01e24dbd5ba0904df5726ca4370dde2f2bb060f42c603f5fc
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