Instructions to use MG31/newmbssd1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use MG31/newmbssd1 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/newmbssd1") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from MG31/newmbssd1: direct link, hf CLI and curl.
- Browser
- Download file 3.37 MB
-
https://huggingface.co/MG31/newmbssd1/resolve/main/saved_model.pb
- Command line
-
hf download hf://MG31/newmbssd1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/MG31/newmbssd1/resolve/main/saved_model.pb
3.37 MB
- Xet hash:
- 88d0b3907534334a3e81102d82b8bcb19f0260c014df3fbb7810b9e8402e0784
- Size of remote file:
- 3.37 MB
- SHA256:
- e74b4cd754ce0d39bfd52f9b06a784f6b2ee594f3bf273bdfcf6ad0bf20080c9
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