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

Feature Extraction
Transformers
Safetensors
nle
speech
asr
non-autoregressive
ctc
custom_code
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xet
Community
4

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ibm-granite/granite-speech-4.1-2b-nar", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ibm-granite/granite-speech-4.1-2b-nar", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

GGUF + pure-C++ runtime in CrispASR β€” Granite 4.1-2B-NAR (single-forward, ~3Γ—)

πŸ‘πŸš€ 3
#4 opened 6 days ago by
cstr

Maximum duration in one input?

πŸ‘€ 1
5
#3 opened 7 days ago by
coder543
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