Instructions to use ttahmid/mixed-precision-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use ttahmid/mixed-precision-models 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("ttahmid/mixed-precision-models") - Notebooks
- Google Colab
- Kaggle
Download resnet_bf16_model/saved_model.pb from ttahmid/mixed-precision-models: direct link, hf CLI and curl.
- Browser
- Download file 4.85 MB
-
https://huggingface.co/ttahmid/mixed-precision-models/resolve/main/resnet_bf16_model/saved_model.pb
- Command line
-
hf download hf://ttahmid/mixed-precision-models/resnet_bf16_model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/ttahmid/mixed-precision-models/resolve/main/resnet_bf16_model/saved_model.pb
4.85 MB
- Xet hash:
- 91433818d0c9764cb788c4712c9982eb0ee0ed81212001e6792a05eb10ee8faf
- Size of remote file:
- 4.85 MB
- SHA256:
- 5a52705dfe88ae51e0b55abf04f24954949ca803564eba7047ab27733b7223dd
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