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microsoft
/
wavlm-large

Feature Extraction
Transformers
PyTorch
English
wavlm
speech
Model card Files Files and versions
xet
Community
8

Instructions to use microsoft/wavlm-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use microsoft/wavlm-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="microsoft/wavlm-large")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("microsoft/wavlm-large")
    model = AutoModel.from_pretrained("microsoft/wavlm-large")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Parameter Count Mismatch: WavLM-Large vs FINALLY Speech Enhancement Model's Claim

👍 1
#8 opened 9 months ago by
fahim-inverseai

Adding `safetensors` variant of this model

#7 opened 9 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#6 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#5 opened over 1 year ago by
SFconvertbot

weights warning/error

#4 opened almost 2 years ago by
Mordehay

Issue: wavlm SI demo gets a runtime error

❤️ 1
#3 opened about 2 years ago by
turiPO

Adding `safetensors` variant of this model

#2 opened about 2 years ago by
SFconvertbot

What is the name of inputs and outputs?

#1 opened over 2 years ago by
huaiping
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