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
transcription and dirization
#25
by shaunck96 - opened
What is the recommended prompt template for transcription/dirization
Hi @shaunck96
You may want to look at the model card
https://huggingface.co/microsoft/Phi-4-multimodal-instruct#speech-language-format
and the technical report https://arxiv.org/pdf/2503.01743
Didn’t see the recommended duration limits thanks a lot for the response
nguyenbh changed discussion status to closed