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), 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("Vedmani/Transfer_Learning") - Notebooks
- Google Colab
- Kaggle
Download Models/DenseNet201/keras_metadata.pb from Vedmani/Transfer_Learning: direct link, hf CLI and curl.
- Browser
- Download file 2.17 MB
-
https://huggingface.co/Vedmani/Transfer_Learning/resolve/main/Models/DenseNet201/keras_metadata.pb
- Command line
-
hf download hf://Vedmani/Transfer_Learning/Models/DenseNet201/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/Vedmani/Transfer_Learning/resolve/main/Models/DenseNet201/keras_metadata.pb
2.17 MB
- Xet hash:
- 536e5aacc8cfcda085e5c2aacd81340923796676fd114d57b5490e1bd0fcb4c7
- Size of remote file:
- 2.17 MB
- SHA256:
- b89a9d5e1d1f0903ffbd2e8e3286387c5b75f8e5524c360dbe82153c8a766725
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