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
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## ***See [our collection](https://huggingface.co/collections/zeromodels/dino-v1-v2-v3-
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# Run DINOv2 with Keras 3: JAX, PyTorch, or TensorFlow
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[](https://github.com/IMvision12/ZeroModels) [](https://imvision12.github.io/ZeroModels/dinov2/) [](https://huggingface.co/collections/zeromodels/dino-v1-v2-v3-
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# zeromodels/dinov2-base
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- tf
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## ***See [our collection](https://huggingface.co/collections/zeromodels/dino-v1-v2-v3-6a8eaf5a43e1a5079d6cc817) for all versions of DINOv2.***
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# Run DINOv2 with Keras 3: JAX, PyTorch, or TensorFlow
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[](https://github.com/IMvision12/ZeroModels) [](https://imvision12.github.io/ZeroModels/dinov2/) [](https://huggingface.co/collections/zeromodels/dino-v1-v2-v3-6a8eaf5a43e1a5079d6cc817)
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# zeromodels/dinov2-base
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