Instructions to use zeromodels/depth_anything_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/depth_anything_large with ZeroModels:
# pip install -U zeromodels # ZeroModels is pure Keras 3, so pick a backend: "jax", "torch" or "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" from zeromodels import AutoZModel # AutoZModel reads the repo's model_type and loads the matching class. # For a task head use the matching loader, e.g. AutoZMImageClassify / AutoZMDetect / # AutoZMSemanticSegment / AutoZMTextGenerate (see zeromodels.auto). model = AutoZModel.from_weights("zeromodels/depth_anything_large") - Keras
How to use zeromodels/depth_anything_large with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://zeromodels/depth_anything_large") - Notebooks
- Google Colab
- Kaggle
Download model.weights.h5 from zeromodels/depth_anything_large: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/zeromodels/depth_anything_large/resolve/main/model.weights.h5
- Command line
-
hf download hf://zeromodels/depth_anything_large/model.weights.h5
-
curl -L -o model.weights.h5 https://huggingface.co/zeromodels/depth_anything_large/resolve/main/model.weights.h5
1.34 GB
- Xet hash:
- 4356ab631fb14bdbbb0b52b166e29ff4e60972714d3c1d9c3b34d7865ab9f3e6
- Size of remote file:
- 1.34 GB
- SHA256:
- 83818bbce76662e228708fe606c135cc7eeb9c011b1a3327f2973c7ea019a6cc
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