Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
timit_asr
Generated from Trainer
Instructions to use patrickvonplaten/wav2vec2-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/wav2vec2-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="patrickvonplaten/wav2vec2-random")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("patrickvonplaten/wav2vec2-random") model = AutoModelForCTC.from_pretrained("patrickvonplaten/wav2vec2-random") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06ab58277ae44a0ea8da768f63a534c225fc4f561253cec879c8d0bfd0d07c15
- Size of remote file:
- 378 MB
- SHA256:
- c9f946c9b46ecc7a627b19ce53a95f42008a802be2f40d6064a0e76c83baaf79
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