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facebook
/
hubert-large-ls960-ft

Automatic Speech Recognition
Transformers
PyTorch
google-tensorflow TensorFlow
English
hubert
speech
audio
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Model card Files Files and versions
xet
Community
6

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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

GGUF + pure-C++ runtime in CrispASR (HuBERT on the wav2vec2 backend)

#6 opened 13 days ago by
cstr

Add Open ASR Leaderboard evaluation results

#5 opened about 1 month ago by
SaylorTwift

Adding `safetensors` variant of this model

#4 opened about 1 year ago by
SFconvertbot

When executing Wav2Vec2Processor.from_pretrained("facebook/hubert-large-ls960-ft"), a warning appears: "Ignored unknown kwarg option 'normalize'".

๐Ÿ‘€ 1
1
#3 opened over 1 year ago by
lifeplayer

How to get embeddings using hubert model

3
#2 opened over 2 years ago by
pulkitmehtawork

Adding `safetensors` variant of this model

๐Ÿ‘ 3
#1 opened about 3 years ago by
SFconvertbot
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