Instructions to use TheLitttleThings/DiffusionTest1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheLitttleThings/DiffusionTest1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import HybridCLIP model = HybridCLIP.from_pretrained("TheLitttleThings/DiffusionTest1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 14/flax_model.msgpack from TheLitttleThings/DiffusionTest1: direct link, hf CLI and curl.
- Browser
- Download file 852 MB
-
https://huggingface.co/TheLitttleThings/DiffusionTest1/resolve/main/14/flax_model.msgpack
- Command line
-
hf download hf://TheLitttleThings/DiffusionTest1/14/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/TheLitttleThings/DiffusionTest1/resolve/main/14/flax_model.msgpack
852 MB
- Xet hash:
- cd3be69355f2ce33fe1a7035ba491ff1be60ed05d504357a86ceee1f554eb02e
- Size of remote file:
- 852 MB
- SHA256:
- ce27ac2af40bf4b90376d5889677a2570f972c1e0130c981bc560341f1bfd65e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.