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:
- ea8376685a16aa6139ece7c7bfc6fb0b8a8cb794baffdeddea42ab516d631ad5
- Size of remote file:
- 205 MB
- SHA256:
- 8cb99084dbe37ab795d6fb6aa7baf85efab3699d46c6a2a0982eb9dd4b0c0274
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.