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
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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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content: Transcribe the audio to text, and then translate the audio to French. Use <sep> as a separator between the original transcript and the translation.
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library_name: transformers
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paper: arxiv.org/abs/2503.01743
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## Model Summary
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content: Transcribe the audio to text, and then translate the audio to French. Use <sep> as a separator between the original transcript and the translation.
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library_name: transformers
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paper: https://arxiv.org/abs/2503.01743
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## Model Summary
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