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 18/flax_model.msgpack from TheLitttleThings/DiffusionTest1: direct link, hf CLI and curl.
- Browser
- Download file 852 MB
-
https://huggingface.co/TheLitttleThings/DiffusionTest1/resolve/main/18/flax_model.msgpack
- Command line
-
hf download hf://TheLitttleThings/DiffusionTest1/18/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/TheLitttleThings/DiffusionTest1/resolve/main/18/flax_model.msgpack
852 MB
- Xet hash:
- f3fa32b1f3f3fbe2bea1b31393456f5dfcbf5deb734a70ca946ce407fa31bd0d
- Size of remote file:
- 852 MB
- SHA256:
- 8012d67d5a34acb9d5f46667470699b7817022b2fcda1149cd31697a6434ab0e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.