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marcoyang
/
spear-xlarge-speech-audio

Feature Extraction
Transformers
Safetensors
spear
speech
audio
speech-representation-learning
audio-representation-learning
self-supervised-learning
legacy
v1
custom_code
Model card Files Files and versions
xet
Community

Instructions to use marcoyang/spear-xlarge-speech-audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use marcoyang/spear-xlarge-speech-audio with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="marcoyang/spear-xlarge-speech-audio", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("marcoyang/spear-xlarge-speech-audio", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
spear-xlarge-speech-audio
2.39 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
marcoyang's picture
marcoyang
update readme
aa4e9be about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    5.8 kB
    update readme about 1 month ago
  • config.json
    730 Bytes
    fix 9 months ago
  • configuration_spear.py
    1.45 kB
    Upload folder using huggingface_hub 9 months ago
  • model.safetensors
    2.39 GB
    xet
    Upload folder using huggingface_hub 9 months ago
  • modeling_spear.py
    505 Bytes
    fix 9 months ago
  • spear_model.py
    35.5 kB
    fix 9 months ago
  • spear_modules.py
    72.8 kB
    Fix 6 months ago
  • zipformer.py
    108 kB
    fix 9 months ago