Instructions to use ICTNLP/StreamUni-Phi4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use ICTNLP/StreamUni-Phi4 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("ICTNLP/StreamUni-Phi4", set_active=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_map": { | |
| "AutoProcessor": "processing_phi4mm.Phi4MMProcessor", | |
| "AutoImageProcessor": "processing_phi4mm.Phi4MMImageProcessor", | |
| "AutoFeatureExtractor": "processing_phi4mm.Phi4MMAudioFeatureExtractor" | |
| }, | |
| "image_processor_type": "Phi4MMImageProcessor", | |
| "processor_class": "Phi4MMProcessor", | |
| "feature_extractor_type": "Phi4MMAudioFeatureExtractor", | |
| "audio_compression_rate": 8, | |
| "audio_downsample_rate": 1, | |
| "audio_feat_stride": 1, | |
| "dynamic_hd": 36 | |
| } | |