Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
hubert
speech-recognition
librispeech_asr
Generated from Trainer
Instructions to use patrickvonplaten/hubert-librispeech-clean-100h-demo-dist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/hubert-librispeech-clean-100h-demo-dist with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="patrickvonplaten/hubert-librispeech-clean-100h-demo-dist")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("patrickvonplaten/hubert-librispeech-clean-100h-demo-dist") model = AutoModelForCTC.from_pretrained("patrickvonplaten/hubert-librispeech-clean-100h-demo-dist") - Notebooks
- Google Colab
- Kaggle
| timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region | |
| 2021-09-24T01:14:58,36e4b553-315c-4816-9506-2dbc98080585,codecarbon,5499.560975074768,0.7689371280465597,2.0906392823451867,USA,USA,nan,Y,aws,us-east-1 | |