Instructions to use DLSAutumn2023/DTITR_Recreation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use DLSAutumn2023/DTITR_Recreation 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("DLSAutumn2023/DTITR_Recreation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a0ae5e916eb2aa7ea31e2c5af331607be8ecb54eb738c61077a73e5c04adeca
- Size of remote file:
- 12.5 MB
- SHA256:
- 25d119537e6f07e609e22ade408e6479e17ce1cfc7da8cbbd3967d58e16c7274
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.