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/keras_metadata.pb from Pogonyalov47/Python_Task_3_Variant: direct link, hf CLI and curl.
- Browser
- Download file 11.8 kB
-
https://huggingface.co/Pogonyalov47/Python_Task_3_Variant/resolve/main/my_model/keras_metadata.pb
- Command line
-
hf download hf://Pogonyalov47/Python_Task_3_Variant/my_model/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/Pogonyalov47/Python_Task_3_Variant/resolve/main/my_model/keras_metadata.pb
11.8 kB
- Xet hash:
- 721d3d2db05c6f31575ed42a527f7fde549d32fce124a2e5be77d043a6757fab
- Size of remote file:
- 11.8 kB
- SHA256:
- 5a205b2ac2bf08582a6c20fdee2d4e922f1625980e9fefcd8aacb92f685badab
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