Instructions to use keras-io/monocular-depth-estimation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/monocular-depth-estimation with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("keras-io/monocular-depth-estimation") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from keras-io/monocular-depth-estimation: direct link, hf CLI and curl.
- Browser
- Download file 13.9 MB
-
https://huggingface.co/keras-io/monocular-depth-estimation/resolve/refs%2Fpr%2F2/saved_model.pb
- Command line
-
hf download hf://keras-io/monocular-depth-estimation@refs/pr/2/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/keras-io/monocular-depth-estimation/resolve/refs%2Fpr%2F2/saved_model.pb
13.9 MB
- Xet hash:
- 16d77e1f3794f2e4e4e36795038002b608c26451f01e7ca40a4aba57a2b67c7a
- Size of remote file:
- 13.9 MB
- SHA256:
- a10d62f5e5aae6b7b3e690589fc1778b9614a91947ce6dd5dbe3ca356aee61ac
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