Instructions to use Vedmani/Transfer_Learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Vedmani/Transfer_Learning 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("Vedmani/Transfer_Learning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 536e5aacc8cfcda085e5c2aacd81340923796676fd114d57b5490e1bd0fcb4c7
- Size of remote file:
- 2.17 MB
- SHA256:
- b89a9d5e1d1f0903ffbd2e8e3286387c5b75f8e5524c360dbe82153c8a766725
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.