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
Instructions to use microsoft/paza-Phi-4-multimodal-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/paza-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/paza-Phi-4-multimodal-instruct", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("microsoft/paza-Phi-4-multimodal-instruct", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download figures/phi_wer_comparison.png from microsoft/paza-Phi-4-multimodal-instruct: direct link, hf CLI and curl.
- Browser
- Download file 166 kB
-
https://huggingface.co/microsoft/paza-Phi-4-multimodal-instruct/resolve/main/figures/phi_wer_comparison.png
- Command line
-
hf download hf://microsoft/paza-Phi-4-multimodal-instruct/figures/phi_wer_comparison.png
-
curl -L -o phi_wer_comparison.png https://huggingface.co/microsoft/paza-Phi-4-multimodal-instruct/resolve/main/figures/phi_wer_comparison.png
166 kB

- Xet hash:
- a254d0fb3ad308362a465ef8d45bb5bccf1fb82076462d5e511b589c48171318
- Size of remote file:
- 166 kB
- SHA256:
- 321b0b32647a3f8258f3da47659016fd3dd9f83fccd9a066a0488771d57c3583
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