Instructions to use SandyTheAdventurer/spam-classify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use SandyTheAdventurer/spam-classify 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("SandyTheAdventurer/spam-classify") - Notebooks
- Google Colab
- Kaggle
Download model.keras from SandyTheAdventurer/spam-classify: direct link, hf CLI and curl.
- Browser
- Download file 4.33 MB
-
https://huggingface.co/SandyTheAdventurer/spam-classify/resolve/main/model.keras
- Command line
-
hf download hf://SandyTheAdventurer/spam-classify/model.keras
-
curl -L -o model.keras https://huggingface.co/SandyTheAdventurer/spam-classify/resolve/main/model.keras
4.33 MB
- Xet hash:
- 94933cbaeb88f33007838c02868ec6bef08cc301eb2f1fc282b327c30db27473
- Size of remote file:
- 4.33 MB
- SHA256:
- 6fdf02758eba308ea149fdf494c0b92599edc29dd69bac5cdf312b7134375e51
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