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 Models/DenseNet121/saved_model.pb from Vedmani/Transfer_Learning: direct link, hf CLI and curl.
- Browser
- Download file 8.02 MB
-
https://huggingface.co/Vedmani/Transfer_Learning/resolve/main/Models/DenseNet121/saved_model.pb
- Command line
-
hf download hf://Vedmani/Transfer_Learning/Models/DenseNet121/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Vedmani/Transfer_Learning/resolve/main/Models/DenseNet121/saved_model.pb
8.02 MB
- Xet hash:
- 00ab08ff93db463e9f63c6a1ffa8fa0101c9455c555dae4ffaaaa5f1d0dccac8
- Size of remote file:
- 8.02 MB
- SHA256:
- 80ff5403c0d29d92fca04d83f1d1accb175427655eaedac8727f300c00e509e9
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