Instructions to use Xenos14/Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xenos14/Checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Xenos14/Checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download Kitsch-In-Sync-v2.safetensors from Xenos14/Checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 2.13 GB
-
https://huggingface.co/Xenos14/Checkpoints/resolve/main/Kitsch-In-Sync-v2.safetensors
- Command line
-
hf download hf://Xenos14/Checkpoints/Kitsch-In-Sync-v2.safetensors
-
curl -L -o Kitsch-In-Sync-v2.safetensors https://huggingface.co/Xenos14/Checkpoints/resolve/main/Kitsch-In-Sync-v2.safetensors
2.13 GB
- Xet hash:
- d43bcb2b60c48e36ac49c3f0380ce17e4bd5abbf4bd43daa999497d79985eb71
- Size of remote file:
- 2.13 GB
- SHA256:
- 91d8ab087afb05dc1ad6446b512f4771d6e163242c9f56161fe0168c6f4e14f9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.