Instructions to use alokaj/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use alokaj/test_model 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("alokaj/test_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be2bd1953b3957319a7817dc095f78dc7769760c1f65126ac53c4b4b45dafa7c
- Size of remote file:
- 56 Bytes
- SHA256:
- 029c98c802f64b164c2f754e46beea76aa9e4fd71605f2a84ee2f3996cbcc014
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.