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
| { | |
| "epoch": 20.0, | |
| "eval_loss": 1.3600618839263916, | |
| "eval_runtime": 50.525, | |
| "eval_samples": 1680, | |
| "eval_samples_per_second": 33.251, | |
| "eval_steps_per_second": 33.251, | |
| "eval_wer": 0.6776238715457239 | |
| } |