Instructions to use keras/depth_anything_v2_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use keras/depth_anything_v2_large with KerasHub:
import keras_hub # Create a DepthEstimator model task = keras_hub.models.DepthEstimator.from_preset("hf://keras/depth_anything_v2_large")import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://keras/depth_anything_v2_large") - Keras
How to use keras/depth_anything_v2_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://keras/depth_anything_v2_large") - Notebooks
- Google Colab
- Kaggle
| { | |
| "keras_version": "3.10.0", | |
| "keras_hub_version": "0.23.0.dev0", | |
| "parameter_count": 336718529, | |
| "date_saved": "2025-09-26@22:03:23", | |
| "tasks": [ | |
| "DepthEstimator" | |
| ] | |
| } |