Instructions to use zeromodels/dinov2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/dinov2-base with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/dinov2-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f82bfa4c5124cc35c45ed813bb8c6383832d4217ff51bbc9980945dd3c0c0d5
- Size of remote file:
- 343 MB
- SHA256:
- 7bed478a47db1cceb1af78c98212f86667babcec6eefef070042a13bdb9f6c38
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