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/MobileNet/keras_metadata.pb from Vedmani/Transfer_Learning: direct link, hf CLI and curl.
- Browser
- Download file 283 kB
-
https://huggingface.co/Vedmani/Transfer_Learning/resolve/main/Models/MobileNet/keras_metadata.pb
- Command line
-
hf download hf://Vedmani/Transfer_Learning/Models/MobileNet/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/Vedmani/Transfer_Learning/resolve/main/Models/MobileNet/keras_metadata.pb
283 kB
- Xet hash:
- cb21d44ab445dbcf304b7cc5dfb627094467af51e57cf3dce5fe37d647e99235
- Size of remote file:
- 283 kB
- SHA256:
- d1456364e93b9c91a4b48636068eabd1f974e469a87ce2356dd511429fdde487
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