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), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("tfimm/resnet18") - Notebooks
- Google Colab
- Kaggle
Download model/fingerprint.pb from tfimm/resnet18: direct link, hf CLI and curl.
- Browser
- Download file 58 Bytes
-
https://huggingface.co/tfimm/resnet18/resolve/main/model/fingerprint.pb
- Command line
-
hf download hf://tfimm/resnet18/model/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/tfimm/resnet18/resolve/main/model/fingerprint.pb
58 Bytes
- Xet hash:
- a9de20aadf3ec583a3b08506a874db50a7433fc91632d3cd705d6bdb23567cfc
- Size of remote file:
- 58 Bytes
- SHA256:
- 19e1add9a284d823b2aa2583b40937c0b65bd6143de48b91ba0bf054e4013be7
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