Automatic Speech Recognition
Transformers
Safetensors
phi4_multimodal
any-to-any
nlp
code
audio
speech-summarization
speech-translation
phi-4-multimodal
phi
phi-4-mini
custom_code
Instructions to use JacobLinCool/phi-4-audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JacobLinCool/phi-4-audio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JacobLinCool/phi-4-audio", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("JacobLinCool/phi-4-audio", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("JacobLinCool/phi-4-audio", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4423984967da138eaa464e773d3d38ad0360c872b50c938523730cf939661b50
- Size of remote file:
- 15.5 MB
- SHA256:
- 94b9c8d751cbf0af78f9b03fea0ed6ea3e12a89d2c39c4ebb5bb10ce0a0310f3
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