Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
hubert
timit_asr
Generated from Trainer
Instructions to use patrickvonplaten/distilhubert-timit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/distilhubert-timit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="patrickvonplaten/distilhubert-timit")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("patrickvonplaten/distilhubert-timit") model = AutoModelForCTC.from_pretrained("patrickvonplaten/distilhubert-timit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32c349ccd473395f41212fb9424e7841765b3580f0397d1faa068016be6991ef
- Size of remote file:
- 94.1 MB
- SHA256:
- c7441e7588c191aa050f6e17e77c7bb12b02d18099677a48d44f1a501f35d21a
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