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
Migrate to zeromodels (rename kf_*.json -> zm_*.json, fix refs in config + README, ensure tag + badge)
6a16797 verified | { | |
| "library_name": "zeromodels", | |
| "zeromodels_version": "1.2.1", | |
| "model_module": "zeromodels.models.dino_v2", | |
| "model_class": "DinoV2Model", | |
| "variant": "dinov2-base", | |
| "weights": "model.weights.h5", | |
| "schema_version": 2, | |
| "weight_dtype": "float32", | |
| "model_type": "dinov2", | |
| "vision_config": { | |
| "as_backbone": false, | |
| "patch_size": 14, | |
| "embed_dim": 768, | |
| "depth": 12, | |
| "num_heads": 12, | |
| "mlp_ratio": 4.0, | |
| "qkv_bias": true, | |
| "qk_norm": false, | |
| "drop_rate": 0.0, | |
| "attn_drop_rate": 0.0, | |
| "layer_scale_init": 1.0, | |
| "use_swiglu": false, | |
| "include_normalization": true, | |
| "normalization_mode": "imagenet", | |
| "image_size": 224 | |
| } | |
| } |