Instructions to use litert-community/eva02_large_patch14_448.mim_m38m_ft_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/eva02_large_patch14_448.mim_m38m_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_large_patch14_448.mim_m38m_ft_in1k with timm:
import timm model = timm.create_model("hf_hub:litert-community/eva02_large_patch14_448.mim_m38m_ft_in1k", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 613da256ad14de07c4cf136085a36d147170b9af6702c0d94b7412a0e10fcc1b
- Size of remote file:
- 1.22 GB
- SHA256:
- 22229e4aeaec65674fc58432a4a518835b603bcf003e528244a7e1b660a7f622
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