Instructions to use mkaichristensen/echo-clip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use mkaichristensen/echo-clip with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:mkaichristensen/echo-clip') tokenizer = open_clip.get_tokenizer('hf-hub:mkaichristensen/echo-clip') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1309b47762791e91b79e7356d312081045e55f1b9bb2b98760f7b41c882532af
- Size of remote file:
- 606 MB
- SHA256:
- 016e26e15da539b3a97dec89d7fa9a30f106e1c38d36ce64789cb99420786fe0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.