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
File size: 705 Bytes
fec28e6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"audio_compression_rate": 8,
"audio_downsample_rate": 1,
"audio_feat_stride": 1,
"auto_map": {
"AutoFeatureExtractor": "feature_extraction_phi4_multimodal.Phi4MultimodalFeatureExtractor",
"AutoImageProcessor": "image_processing_phi4_multimodal_fast.Phi4MultimodalImageProcessorFast",
"AutoProcessor": "processing_phi4_multimodal.Phi4MultimodalProcessor"
},
"feature_extractor_type": "Phi4MultimodalFeatureExtractor",
"feature_size": 80,
"hop_length": 160,
"n_fft": 512,
"padding_side": "right",
"padding_value": 0.0,
"preemphasis": 0.97,
"processor_class": "Phi4MultimodalProcessor",
"return_attention_mask": true,
"sampling_rate": 16000,
"win_length": 400
}
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