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 InceptionV3/keras_metadata.pb from Vedmani/Transfer_Learning: direct link, hf CLI and curl.
- Browser
- Download file 980 kB
-
https://huggingface.co/Vedmani/Transfer_Learning/resolve/main/InceptionV3/keras_metadata.pb
- Command line
-
hf download hf://Vedmani/Transfer_Learning/InceptionV3/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/Vedmani/Transfer_Learning/resolve/main/InceptionV3/keras_metadata.pb
980 kB
- Xet hash:
- 38b7fea87361fce6922de294926aaea197a76668afa7c3e2a98e69f6edd73fdc
- Size of remote file:
- 980 kB
- SHA256:
- c080a203f7e029fb6bc94411b49d9a230fff6391d36e6d292f4a87b730acc236
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