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 training_args.bin from KanWasTaken/UNetOscillatoryNeuron: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/KanWasTaken/UNetOscillatoryNeuron/resolve/a95bd515cdeeabe05c5ffd8564ac8f71e6549ada/training_args.bin
- Command line
-
hf download hf://KanWasTaken/UNetOscillatoryNeuron@a95bd515cdeeabe05c5ffd8564ac8f71e6549ada/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/KanWasTaken/UNetOscillatoryNeuron/resolve/a95bd515cdeeabe05c5ffd8564ac8f71e6549ada/training_args.bin
5.3 kB
- Xet hash:
- 9f4eb08d09b1fcea6e78cac22b93e760ed2ab45f572738ae1ab440275d965259
- Size of remote file:
- 5.3 kB
- SHA256:
- 6a5e6515960bdf43452faef712522585f486ddc4a14009da20685c3cab66a52c
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