Instructions to use Ramos-Ramos/emb-gam-vit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Ramos-Ramos/emb-gam-vit with Scikit-learn:
from skops.hub_utils import download from skops.io import load download("Ramos-Ramos/emb-gam-vit", "path_to_folder") # make sure model file is in skops format # if model is a pickle file, make sure it's from a source you trust model = load("path_to_folder/model.pkl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b4da63bf9a1465500061872fcebdf6c1333ed363f275ddc8f6ca8e273f74c88
- Size of remote file:
- 3.14 MB
- SHA256:
- 116255247f43696402d042d8adaeca688ef695c510960b593839948168db26d8
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