Instructions to use snakeyworm/security-research-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use snakeyworm/security-research-poc 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("snakeyworm/security-research-poc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edc44a0b1e0cfaf91b9fefb10e76f1bf6159f24da848271145708a51f832d02b
- Size of remote file:
- 577 Bytes
- SHA256:
- d76c23531cc94a57a4b4d2324ba8a12b09766a8a3cf9dd58e400de3bfe76b754
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.