Instructions to use marvmk/model-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use marvmk/model-test 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("marvmk/model-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6771740450998d0e75a5b752048815372643df4fac3e2af7f68439535eac146f
- Size of remote file:
- 5.67 MB
- SHA256:
- e9f5e636edb920032b334e4b883affd60bf33b33a480d1a38bf396f91f966d47
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.