Instructions to use paramrah/shoesv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use paramrah/shoesv2 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("paramrah/shoesv2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d050eeb65aed3194d859e34f793faf14bdbf8d14617318ef18d8f7d1b5538f42
- Size of remote file:
- 3.78 MB
- SHA256:
- 7e0691a6ade34af23ed7c77aa7a93f52d8520adc80b349baab1532ab185d00c4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.