Instructions to use character-aware-diffusion/charred with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use character-aware-diffusion/charred with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("character-aware-diffusion/charred", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download diffusion_flax_model.msgpack from character-aware-diffusion/charred: direct link, hf CLI and curl.
- Browser
- Download file 3.51 GB
-
https://huggingface.co/character-aware-diffusion/charred/resolve/main/diffusion_flax_model.msgpack
- Command line
-
hf download hf://character-aware-diffusion/charred/diffusion_flax_model.msgpack
-
curl -L -o diffusion_flax_model.msgpack https://huggingface.co/character-aware-diffusion/charred/resolve/main/diffusion_flax_model.msgpack
3.51 GB
- Xet hash:
- 5ef0b986507022a45493d60cc5d59cd447187fd6ecdc6a36c3f75a8e310042b4
- Size of remote file:
- 3.51 GB
- SHA256:
- a133d9551d9bdf2c118fff928a0a6269bdee9f01413c4083b42fcf76708fbd72
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.