Instructions to use ChrisCleaner/influence_upload_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use ChrisCleaner/influence_upload_test 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("ChrisCleaner/influence_upload_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7588c4f9a52d9648f0e06132777a053c1893393f410daa2565b9e59af59c385
- Size of remote file:
- 1.85 MB
- SHA256:
- ed840391c9a26828ed08ddd87df840e9ce731886a4ae9b3af366c73b77aa28be
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.