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microsoft
/
Phi-4-multimodal-instruct

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
Eval Results
Model card Files Files and versions
xet
Community
94

Instructions to use microsoft/Phi-4-multimodal-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use microsoft/Phi-4-multimodal-instruct with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="microsoft/Phi-4-multimodal-instruct", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-4-multimodal-instruct", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Phi-4-multimodal-instruct / speech-lora
942 MB
Ctrl+K
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  • 14 contributors
History: 1 commit
garg-amit's picture
garg-amit
Added model files
d93d2f6 about 1 year ago
  • adapter_config.json
    465 Bytes
    Added model files about 1 year ago
  • adapter_model.safetensors
    923 MB
    xet
    Added model files about 1 year ago
  • added_tokens.json
    249 Bytes
    Added model files about 1 year ago
  • special_tokens_map.json
    473 Bytes
    Added model files about 1 year ago
  • tokenizer.json
    15.5 MB
    xet
    Added model files about 1 year ago
  • tokenizer_config.json
    3.25 kB
    Added model files about 1 year ago
  • vocab.json
    3.91 MB
    Added model files about 1 year ago