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
File size: 129 Bytes
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