Instructions to use SriniInHuggingFace/IdentifyDamagedRoads with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use SriniInHuggingFace/IdentifyDamagedRoads 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("SriniInHuggingFace/IdentifyDamagedRoads") - Notebooks
- Google Colab
- Kaggle
Download saved_model/saved_model.pb from SriniInHuggingFace/IdentifyDamagedRoads: direct link, hf CLI and curl.
- Browser
- Download file 8.67 MB
-
https://huggingface.co/SriniInHuggingFace/IdentifyDamagedRoads/resolve/main/saved_model/saved_model.pb
- Command line
-
hf download hf://SriniInHuggingFace/IdentifyDamagedRoads/saved_model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/SriniInHuggingFace/IdentifyDamagedRoads/resolve/main/saved_model/saved_model.pb
8.67 MB
- Xet hash:
- 1db8137d944239d665a8554212ed146ef685b9bb94493f0e35cb8df376576c0f
- Size of remote file:
- 8.67 MB
- SHA256:
- a10dc73aa7549e497cea5d4e2af9aa2fb2d48f7fd76890d76bca883cbfd3b48a
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