Instructions to use ashhadahsan/amazon-sub-theme with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use ashhadahsan/amazon-sub-theme 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("ashhadahsan/amazon-sub-theme") - Notebooks
- Google Colab
- Kaggle
Download sub_theme_model/saved_model.pb from ashhadahsan/amazon-sub-theme: direct link, hf CLI and curl.
- Browser
- Download file 9.29 MB
-
https://huggingface.co/ashhadahsan/amazon-sub-theme/resolve/main/sub_theme_model/saved_model.pb
- Command line
-
hf download hf://ashhadahsan/amazon-sub-theme/sub_theme_model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/ashhadahsan/amazon-sub-theme/resolve/main/sub_theme_model/saved_model.pb
9.29 MB
- Xet hash:
- 5c9ce50ede1aaf0ed49f2ee840c3aee5c80fbea1b9def78d34d531154bae8d96
- Size of remote file:
- 9.29 MB
- SHA256:
- c11833ed78910dd83221e1a25643322d11cc9eed5a1fc2f1248b5b29fec91d4a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.