Instructions to use zeromodels/dinov2-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/dinov2-small 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-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e81e361e4dccbb253402b3a7f1935899ecc167b968277ea7df71901b397b342
- Size of remote file:
- 87 MB
- SHA256:
- d36872702b64d2a233a1072cb7892094f904df5697ebbbf1e1664d3f2a352856
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