Instructions to use Diezu/dog_wolf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Diezu/dog_wolf 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("Diezu/dog_wolf") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from Diezu/dog_wolf: direct link, hf CLI and curl.
- Browser
- Download file 17.7 MB
-
https://huggingface.co/Diezu/dog_wolf/resolve/main/saved_model.pb
- Command line
-
hf download hf://Diezu/dog_wolf/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Diezu/dog_wolf/resolve/main/saved_model.pb
17.7 MB
- Xet hash:
- 61b2ff87a93d2c81995ae9dedca4b5e372c8fdc26df36b7486e74c8a7ce0b655
- Size of remote file:
- 17.7 MB
- SHA256:
- a39248bb2b63e53f5c2f4875e300f7926bce3224c0b9700f25e45247465c2ec2
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