Instructions to use MG31/newmbssd4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use MG31/newmbssd4 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("MG31/newmbssd4") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from MG31/newmbssd4: direct link, hf CLI and curl.
- Browser
- Download file 3.37 MB
-
https://huggingface.co/MG31/newmbssd4/resolve/main/saved_model.pb
- Command line
-
hf download hf://MG31/newmbssd4/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/MG31/newmbssd4/resolve/main/saved_model.pb
3.37 MB
- Xet hash:
- 44f8530e07800890b2172d6aca3c842d85d765ee862ee8a5931c82a1817bccb1
- Size of remote file:
- 3.37 MB
- SHA256:
- d985aba939f0bd9faba3dd3b4746eb36453a08544811b9d676c1fae7bf4039da
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