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 fp32_model_old/saved_model.pb from ttahmid/mixed-precision-models: direct link, hf CLI and curl.
- Browser
- Download file 1.58 MB
-
https://huggingface.co/ttahmid/mixed-precision-models/resolve/main/fp32_model_old/saved_model.pb
- Command line
-
hf download hf://ttahmid/mixed-precision-models/fp32_model_old/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/ttahmid/mixed-precision-models/resolve/main/fp32_model_old/saved_model.pb
1.58 MB
- Xet hash:
- 4535b9cc11bab0de37e8af0841e2204a07e66652fcd66ac6379e1c7db17b7883
- Size of remote file:
- 1.58 MB
- SHA256:
- 05f815a823768061f82262825ccba5e855cd93496cc48753085774076060b605
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