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 9/flax_model.msgpack from TheLitttleThings/DiffusionTest1: direct link, hf CLI and curl.
- Browser
- Download file 852 MB
-
https://huggingface.co/TheLitttleThings/DiffusionTest1/resolve/main/9/flax_model.msgpack
- Command line
-
hf download hf://TheLitttleThings/DiffusionTest1/9/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/TheLitttleThings/DiffusionTest1/resolve/main/9/flax_model.msgpack
852 MB
- Xet hash:
- e6b3610a83b5a863461ad060c5435266526c06a9448ae50dbce036387bd915bc
- Size of remote file:
- 852 MB
- SHA256:
- 1b3c27bc6e41213628740c3d966c3b07e9635bbfecd9b213e264d6474d4591ee
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