Instructions to use hikow/civitai_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use hikow/civitai_models with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:hikow/civitai_models') tokenizer = open_clip.get_tokenizer('hf-hub:hikow/civitai_models') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a84733c01ebb415ad275419d350b1082979353e5baafaa7a536c55eb920459b1
- Size of remote file:
- 2.3 GB
- SHA256:
- dbc0247d5dbf1216e9def6c5989a7c8bdeead80548fc3a2b526116df4893f2af
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.