Instructions to use bbhandari/chapter_1__models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use bbhandari/chapter_1__models with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("bbhandari/chapter_1__models") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 253f254bc447e5afed450ebac03f35a66611172cb70079503413274d69df8e8b
- Size of remote file:
- 238 kB
- SHA256:
- 2c890e158b25c92fdbfa4ead5d21d07e78da64f02c2f88d13b70001bfcf10f1f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.