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("<base-model-id>") model.load_adapter("ICTNLP/StreamUni-Phi4", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from ICTNLP/StreamUni-Phi4: direct link, hf CLI and curl.
- Browser
- Download file 121 Bytes
-
https://huggingface.co/ICTNLP/StreamUni-Phi4/resolve/main/processor_config.json
- Command line
-
hf download hf://ICTNLP/StreamUni-Phi4/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/ICTNLP/StreamUni-Phi4/resolve/main/processor_config.json
121 Bytes
| { | |
| "auto_map": { | |
| "AutoProcessor": "processing_phi4mm.Phi4MMProcessor" | |
| }, | |
| "processor_class": "Phi4MMProcessor" | |
| } | |