Instructions to use alexanderkroner/MSI-Net with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use alexanderkroner/MSI-Net 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("alexanderkroner/MSI-Net") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a747397c747fa1269abe6dd953e7029854ea724416171f07095c065feb727e4e
- Size of remote file:
- 99.9 MB
- SHA256:
- 55f060ac63f02f8f82506acd23104f7460919d3784f3b9a521c5d5bfff47ddfd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.