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), 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("alexanderkroner/MSI-Net") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from alexanderkroner/MSI-Net: direct link, hf CLI and curl.
- Browser
- Download file 99.9 MB
-
https://huggingface.co/alexanderkroner/MSI-Net/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://alexanderkroner/MSI-Net@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/alexanderkroner/MSI-Net/resolve/refs%2Fpr%2F1/saved_model.pb
99.9 MB
- Xet hash:
- a747397c747fa1269abe6dd953e7029854ea724416171f07095c065feb727e4e
- Size of remote file:
- 99.9 MB
- SHA256:
- 55f060ac63f02f8f82506acd23104f7460919d3784f3b9a521c5d5bfff47ddfd
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