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) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("ttahmid/mixed-precision-models") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4535b9cc11bab0de37e8af0841e2204a07e66652fcd66ac6379e1c7db17b7883
- Size of remote file:
- 1.58 MB
- SHA256:
- 05f815a823768061f82262825ccba5e855cd93496cc48753085774076060b605
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.