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:
- e702a5760e6c9458051fd2915693d609bf783d771d2fbe422c0ea00f94d514ae
- Size of remote file:
- 2.86 kB
- SHA256:
- 5d91af76e55961ed6d42bc6636da82263b9218c6d7ec6c8988bf273631911759
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