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
Download Xception/saved_model.pb from Vedmani/Transfer_Learning: direct link, hf CLI and curl.
- Browser
- Download file 2.96 MB
-
https://huggingface.co/Vedmani/Transfer_Learning/resolve/main/Xception/saved_model.pb
- Command line
-
hf download hf://Vedmani/Transfer_Learning/Xception/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Vedmani/Transfer_Learning/resolve/main/Xception/saved_model.pb
2.96 MB
- Xet hash:
- 41a25eac56a69938ae7ddcee8cf287ba4dbaebb39a7bce55124bd71b41aafcbe
- Size of remote file:
- 2.96 MB
- SHA256:
- 2ecd564fa9776fe301185b06754a053611d19785f9fdd0358e0b4a1492f14ec9
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