Instructions to use kerasformers/depth_anything_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/depth_anything_large with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use kerasformers/depth_anything_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://kerasformers/depth_anything_large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4356ab631fb14bdbbb0b52b166e29ff4e60972714d3c1d9c3b34d7865ab9f3e6
- Size of remote file:
- 1.34 GB
- SHA256:
- 83818bbce76662e228708fe606c135cc7eeb9c011b1a3327f2973c7ea019a6cc
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