Instructions to use kerasformers/depth_anything_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/depth_anything_base 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_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://kerasformers/depth_anything_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99b45dffea7a7655bb6db1f6285dae24782c2358047c6797cc1d05e0216265d8
- Size of remote file:
- 389 MB
- SHA256:
- b2d00440d1f7847d166d3a7a92e1c457d36d2975da89a201232fe2aebccd8ec5
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