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 variables/variables.index from JbIPS/DogRace: direct link, hf CLI and curl.
- Browser
- Download file 39.6 kB
-
https://huggingface.co/JbIPS/DogRace/resolve/main/variables/variables.index
- Command line
-
hf download hf://JbIPS/DogRace/variables/variables.index
-
curl -L -o variables.index https://huggingface.co/JbIPS/DogRace/resolve/main/variables/variables.index
39.6 kB
- Xet hash:
- 1f410c194af53cb682ff60e9a3fb696b670896cf7af68b72e8f0442da642ef50
- Size of remote file:
- 39.6 kB
- SHA256:
- 6f20700aef233380859b7b989a4675a10883b9ebe39d7f370205f6146e20bead
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