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ibm-granite
/
granite-speech-4.1-2b

Automatic Speech Recognition
Transformers
Safetensors
granite_speech
Eval Results
Model card Files Files and versions
xet
Community
5

Instructions to use ibm-granite/granite-speech-4.1-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ibm-granite/granite-speech-4.1-2b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ibm-granite/granite-speech-4.1-2b")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("ibm-granite/granite-speech-4.1-2b")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("ibm-granite/granite-speech-4.1-2b")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

What is the function of the weights in out_llm.safetensors?

1
#6 opened 2 days ago by
deathknight0

ggml/gguf support per CrispASR

🔥 3
#5 opened 7 days ago by
cstr
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