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:
- 8db3b8220fe81edb83eccb4ca1ecbcaf73616731699814a5e7dae993c0abce8b
- Size of remote file:
- 2.86 kB
- SHA256:
- 6cd161377343b9c3f12a473fc2be32995ffaf56a610b4b269cf2fba9586b5d5f
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