Instructions to use JbIPS/DogRace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use JbIPS/DogRace 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("JbIPS/DogRace") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from JbIPS/DogRace: direct link, hf CLI and curl.
- Browser
- Download file 3.96 MB
-
https://huggingface.co/JbIPS/DogRace/resolve/main/saved_model.pb
- Command line
-
hf download hf://JbIPS/DogRace/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/JbIPS/DogRace/resolve/main/saved_model.pb
3.96 MB
- Xet hash:
- b1c22b6c8c23f66014451d1ded7e6d4941f8f64e3533d31733889a6ece8f4050
- Size of remote file:
- 3.96 MB
- SHA256:
- 4cba0203a4fe2ba51c76769c8609004f3df8ef736bd5173a27b9fd7f94498bfd
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