Instructions to use litert-community/eva02_base_patch14_448.mim_in22k_ft_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/eva02_base_patch14_448.mim_in22k_ft_in1k with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- timm
How to use litert-community/eva02_base_patch14_448.mim_in22k_ft_in1k with timm:
import timm model = timm.create_model("hf_hub:litert-community/eva02_base_patch14_448.mim_in22k_ft_in1k", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3348e4484df4b82a88e7bb2d8eb4feb673787a77f522fadd43f5b2ccf063663
- Size of remote file:
- 349 MB
- SHA256:
- d4f10b7ccf24fe85625cbbb66110b45d48aeac12128856eb709689d7cc5d0eff
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