Instructions to use Pogonyalov47/Python_Task_3_Variant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Pogonyalov47/Python_Task_3_Variant 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("Pogonyalov47/Python_Task_3_Variant") - Notebooks
- Google Colab
- Kaggle
Download my_model/saved_model.pb from Pogonyalov47/Python_Task_3_Variant: direct link, hf CLI and curl.
- Browser
- Download file 133 kB
-
https://huggingface.co/Pogonyalov47/Python_Task_3_Variant/resolve/main/my_model/saved_model.pb
- Command line
-
hf download hf://Pogonyalov47/Python_Task_3_Variant/my_model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Pogonyalov47/Python_Task_3_Variant/resolve/main/my_model/saved_model.pb
133 kB
- Xet hash:
- 7189c48f11ef53d55b692a0a6799b66f30ce51e9cbe4fd913907bc6bde83b85f
- Size of remote file:
- 133 kB
- SHA256:
- 334341f0001e6fa5bd47aa83fb8ef8fcea9a75cd2341643125cff9a75d897a2f
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