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IronWolfAI
/
GoldenCrow

Automatic Speech Recognition
Transformers
Safetensors
phi4mm
text-generation
nlp
code
audio
speech-summarization
speech-translation
visual-question-answering
phi-4-multimodal
phi
phi-4-mini
custom_code
Model card Files Files and versions
xet
Community

Instructions to use IronWolfAI/GoldenCrow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IronWolfAI/GoldenCrow with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="IronWolfAI/GoldenCrow", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("IronWolfAI/GoldenCrow", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
GoldenCrow / speech-lora
942 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
IronWolfAI's picture
IronWolfAI
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c11eaa7 verified about 1 year ago
  • adapter_config.json
    465 Bytes
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  • adapter_model.safetensors
    923 MB
    xet
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  • added_tokens.json
    249 Bytes
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  • special_tokens_map.json
    473 Bytes
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  • tokenizer.json
    15.5 MB
    xet
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  • tokenizer_config.json
    3.25 kB
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  • vocab.json
    3.91 MB
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