Instructions to use keras-io/SimSiam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/SimSiam 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("keras-io/SimSiam") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from keras-io/SimSiam: direct link, hf CLI and curl.
- Browser
- Download file 2.41 MB
-
https://huggingface.co/keras-io/SimSiam/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://keras-io/SimSiam@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/keras-io/SimSiam/resolve/refs%2Fpr%2F1/saved_model.pb
2.41 MB
- Xet hash:
- 54736b69b5f0059205869354745c4ff19b569540c77d4af2618443e8e06f1f4b
- Size of remote file:
- 2.41 MB
- SHA256:
- 5de98d75bd11093a2c9a1418d0e770cef0c77cc08340091bc8b49ada50c998dc
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