Instructions to use Yash030/horizon-tf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Yash030/horizon-tf 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("Yash030/horizon-tf") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from Yash030/horizon-tf: direct link, hf CLI and curl.
- Browser
- Download file 175 MB
-
https://huggingface.co/Yash030/horizon-tf/resolve/main/saved_model.pb
- Command line
-
hf download hf://Yash030/horizon-tf/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Yash030/horizon-tf/resolve/main/saved_model.pb
175 MB
- Xet hash:
- e2f2817fd79652fcd7de013933af96cf1ac2636cff5261004a61bf6cbc1ce46d
- Size of remote file:
- 175 MB
- SHA256:
- 8fe79abab12d78345938d621efda6499e269bee2c92e06a9b4f860d3f88b3932
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