Instructions to use melino2000/FakeNews_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use melino2000/FakeNews_Model 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("melino2000/FakeNews_Model") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from melino2000/FakeNews_Model: direct link, hf CLI and curl.
- Browser
- Download file 4.64 MB
-
https://huggingface.co/melino2000/FakeNews_Model/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://melino2000/FakeNews_Model@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/melino2000/FakeNews_Model/resolve/refs%2Fpr%2F1/saved_model.pb
4.64 MB
- Xet hash:
- 1598ba8fa1e89f67349215fca1015a7c850c5271ff5cc00f8fff3943ddebf84c
- Size of remote file:
- 4.64 MB
- SHA256:
- 9e22bf0c87c88daf764529545481d1fb520c75228df600a862991c75c650f12e
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