Instructions to use zeromodels/dinov2-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/dinov2-large 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-large") - Notebooks
- Google Colab
- Kaggle
Rename to official model id; sync variant + links
Browse files- kf_preprocessor.json +1 -1
kf_preprocessor.json
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@@ -3,7 +3,7 @@
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"kerasformers_version": "1.2.1",
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"preprocessor_module": "kerasformers.models.dino_v2",
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"preprocessor_class": "DinoV2ImageProcessor",
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"variant": "
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"resize_size": 256,
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"crop_size": 224,
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"mean": [
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"kerasformers_version": "1.2.1",
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"preprocessor_module": "kerasformers.models.dino_v2",
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"preprocessor_class": "DinoV2ImageProcessor",
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"variant": "dinov2-large",
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"resize_size": 256,
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"crop_size": 224,
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"mean": [
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