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
Upgrade kf_config.json to v2 (nested config + dtype)
Browse files- kf_config.json +19 -15
kf_config.json
CHANGED
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{
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"library_name": "kerasformers",
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"kerasformers_version": "1.
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"model_module": "kerasformers.models.dino_v2",
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"model_class": "DinoV2Model",
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"variant": "dinov2_vitb14",
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"weights": "model.weights.h5",
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"model_type": "dinov2",
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"
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}
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{
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"library_name": "kerasformers",
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"kerasformers_version": "1.2.1",
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"model_module": "kerasformers.models.dino_v2",
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"model_class": "DinoV2Model",
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"variant": "dinov2_vitb14",
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"weights": "model.weights.h5",
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"schema_version": 2,
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"dtype": "float32",
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"model_type": "dinov2",
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"vision_config": {
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"as_backbone": false,
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"patch_size": 14,
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"embed_dim": 768,
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"depth": 12,
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"num_heads": 12,
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"mlp_ratio": 4.0,
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"qkv_bias": true,
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"qk_norm": false,
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"drop_rate": 0.0,
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"attn_drop_rate": 0.0,
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"layer_scale_init": 1.0,
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"include_normalization": true,
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"normalization_mode": "imagenet",
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"image_size": 224
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}
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}
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