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team-lucid
/
hubert-large-korean

Automatic Speech Recognition
Transformers
PyTorch
JAX
Safetensors
Korean
hubert
feature-extraction
speech
audio
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use team-lucid/hubert-large-korean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use team-lucid/hubert-large-korean with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="team-lucid/hubert-large-korean", trust_remote_code=True)
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("team-lucid/hubert-large-korean", trust_remote_code=True)
    model = AutoModel.from_pretrained("team-lucid/hubert-large-korean", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
hubert-large-korean
3.79 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
franknoh's picture
franknoh
Update README.md
62054d1 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    3.47 kB
    Update README.md almost 3 years ago
  • config.json
    1.55 kB
    load flax hubert model via remote code almost 3 years ago
  • flax_model.msgpack
    1.26 GB
    xet
    Upload 5 files about 3 years ago
  • model.safetensors
    1.26 GB
    xet
    Upload 5 files about 3 years ago
  • modeling_flax_hubert.py
    32.9 kB
    load flax hubert model via remote code almost 3 years ago
  • preprocessor_config.json
    214 Bytes
    Upload 5 files about 3 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    Upload 5 files about 3 years ago