Instructions to use KanWasTaken/UNetOscillatoryNeuron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KanWasTaken/UNetOscillatoryNeuron with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KanWasTaken/UNetOscillatoryNeuron", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from KanWasTaken/UNetOscillatoryNeuron: direct link, hf CLI and curl.
- Browser
- Download file 163 Bytes
-
https://huggingface.co/KanWasTaken/UNetOscillatoryNeuron/resolve/main/config.json
- Command line
-
hf download hf://KanWasTaken/UNetOscillatoryNeuron/config.json
-
curl -L -o config.json https://huggingface.co/KanWasTaken/UNetOscillatoryNeuron/resolve/main/config.json
163 Bytes
| { | |
| "architectures": [ | |
| "OscillatoryNeuronModel" | |
| ], | |
| "model_type": "UNetOscillatoryNeuron", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.51.1" | |
| } | |