Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
English
hubert
speech
audio
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Instructions to use facebook/hubert-large-ls960-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/hubert-large-ls960-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/hubert-large-ls960-ft")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("facebook/hubert-large-ls960-ft") model = AutoModelForCTC.from_pretrained("facebook/hubert-large-ls960-ft") - Notebooks
- Google Colab
- Kaggle
When executing Wav2Vec2Processor.from_pretrained("facebook/hubert-large-ls960-ft"), a warning appears: "Ignored unknown kwarg option 'normalize'".
#3
by lifeplayer - opened
When executing Wav2Vec2Processor.from_pretrained("facebook/hubert-large-ls960-ft"), a warning appears: "Ignored unknown kwarg option 'normalize'".
How should I resolve it?
I have the same issue with a different model. Any solutions?
Edit: apparently it has been fixed a year ago https://github.com/huggingface/transformers/pull/28011