Instructions to use nev/taef1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use nev/taef1 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("nev/taef1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e7733895256b25d3cc4710560e6c8c50b49464c33881899c9d4861e6881c316
- Size of remote file:
- 5.1 MB
- SHA256:
- 758f4322e6bc0ab5ecf894e0846d632f16cbd171be0e57d4093b71b661ec29c7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.