Instructions to use eljapo/Sea-Animal-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use eljapo/Sea-Animal-2 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("eljapo/Sea-Animal-2") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from eljapo/Sea-Animal-2: direct link, hf CLI and curl.
- Browser
- Download file 19.1 MB
-
https://huggingface.co/eljapo/Sea-Animal-2/resolve/main/saved_model.pb
- Command line
-
hf download hf://eljapo/Sea-Animal-2/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/eljapo/Sea-Animal-2/resolve/main/saved_model.pb
19.1 MB
- Xet hash:
- 71ba9c8d340832815c77d5dfe991c17671816c20b8f9c3193f4b05c8c3140814
- Size of remote file:
- 19.1 MB
- SHA256:
- 17c5ead24b4f940d10af8c52a64da6aa9f25daccf74d9eb02e3de6855af2c67a
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