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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
hubert-large-ls960-ft
2.52 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 12 commits
anton-l's picture
anton-l HF Staff
Update README.md
ece5fab almost 4 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • README.md
    3.33 kB
    Update README.md almost 4 years ago
  • config.json
    1.38 kB
    add model over 4 years ago
  • preprocessor_config.json
    212 Bytes
    add weights almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    1.26 GB
    xet
    correct model checkpoint almost 5 years ago
  • special_tokens_map.json
    85 Bytes
    add weights almost 5 years ago
  • tf_model.h5
    1.26 GB
    xet
    add model over 4 years ago
  • tokenizer_config.json
    138 Bytes
    add weights almost 5 years ago
  • vocab.json
    291 Bytes
    Update vocab.json almost 5 years ago