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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add language tags
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by lbourdois - opened
README.md
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license_link: https://huggingface.co/microsoft/Phi-4-multimodal-instruct/resolve/main/LICENSE
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language:
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- multilingual
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tags:
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- nlp
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- code
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license_link: https://huggingface.co/microsoft/Phi-4-multimodal-instruct/resolve/main/LICENSE
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language:
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- multilingual
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- ar
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- zh
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- cs
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tags:
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- nlp
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- code
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