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
Adding `safetensors` variant of this model
#3 opened over 2 years ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#2 opened over 2 years ago
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librarian-bot
Upload README.md with huggingface_hub
#1 opened over 3 years ago
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lbourdois