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/overall_cer_grouped_sorted.png from microsoft/paza-Phi-4-multimodal-instruct: direct link, hf CLI and curl.
- Browser
- Download file 230 kB
-
https://huggingface.co/microsoft/paza-Phi-4-multimodal-instruct/resolve/main/figures/overall_cer_grouped_sorted.png
- Command line
-
hf download hf://microsoft/paza-Phi-4-multimodal-instruct/figures/overall_cer_grouped_sorted.png
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curl -L -o overall_cer_grouped_sorted.png https://huggingface.co/microsoft/paza-Phi-4-multimodal-instruct/resolve/main/figures/overall_cer_grouped_sorted.png
230 kB

- Xet hash:
- a909db1980d1496b24c165e6d4812b601a822f5bd3d1f4e4173c06a6b6e134e3
- Size of remote file:
- 230 kB
- SHA256:
- 6798fb58832f6a01cbb234a230b57426861e9b38efe76e887093047331e73d42
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