Instructions to use tfimm/resnet18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use tfimm/resnet18 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("tfimm/resnet18") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84c2a467f673de86fca8e673c591f78e13e808bf4f59b6bc415e5e62849b0e9d
- Size of remote file:
- 113 kB
- SHA256:
- fe7efb24082a723bb61c303db1153a69685aa678d3ec1334bc55f3374a035a5f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.