Instructions to use kabachuha/animov-0.1-modelscope-original-format with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use kabachuha/animov-0.1-modelscope-original-format with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:kabachuha/animov-0.1-modelscope-original-format') tokenizer = open_clip.get_tokenizer('hf-hub:kabachuha/animov-0.1-modelscope-original-format') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 764d385dbdaba106b2c121bc997574e488fbbb98d38e8c0cd30963a422a8e569
- Size of remote file:
- 1.97 GB
- SHA256:
- 73c32c62eebf1112b0693ff9e3ecfa0573ba02cd279420ea4da4af1cbfb39e3b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.