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:
- e75ff3342c5c7e8d7bdb61dbf3ae5af4debaaefc05db87aaf6f5a33193cb01e7
- Size of remote file:
- 56 Bytes
- SHA256:
- 7443352cdb159f5db890bee3e479769f18882d86b48475ea501172035564b04f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.