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:
- ca4c18d96cee3e015d37bb891e8b5410007c87426cd26999c27c62bdf9b2deed
- Size of remote file:
- 46.9 MB
- SHA256:
- e705916bba6eee1a22f73406d44c13579b2842fd3a1df319d9f5641a0711e5a4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.