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 19/flax_model.msgpack from TheLitttleThings/DiffusionTest1: direct link, hf CLI and curl.
- Browser
- Download file 852 MB
-
https://huggingface.co/TheLitttleThings/DiffusionTest1/resolve/main/19/flax_model.msgpack
- Command line
-
hf download hf://TheLitttleThings/DiffusionTest1/19/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/TheLitttleThings/DiffusionTest1/resolve/main/19/flax_model.msgpack
852 MB
- Xet hash:
- 3c43d1fcd835c0fd612d5e9843946caaf73bdfb0cb64c7754f044a05359cb9e4
- Size of remote file:
- 852 MB
- SHA256:
- 50a23bd5420080cff32928c6b9ef894453b874070bbd0af2b9d4c604b2207919
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