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 keras_metadata.pb from JbIPS/DogRace: direct link, hf CLI and curl.
- Browser
- Download file 502 kB
-
https://huggingface.co/JbIPS/DogRace/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://JbIPS/DogRace/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/JbIPS/DogRace/resolve/main/keras_metadata.pb
502 kB
- Xet hash:
- f167ad1ebe3ae2c9998970d610432fd5fe08b7e0b5fe8f0559e29c48e35ea31e
- Size of remote file:
- 502 kB
- SHA256:
- 879d4ab79a8b482f1d9d2f5258b1896366aea100195e67ea54438144cb111f05
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