Instructions to use NorahAlshahrani/2dCNNhard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use NorahAlshahrani/2dCNNhard 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("NorahAlshahrani/2dCNNhard") - Notebooks
- Google Colab
- Kaggle
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## Model description
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This 2dCNNhard model is a two-dimensional Convolutional Neural Network (2D-CNN) architecture trained from scratch on the Hotel Arabic Reviews Dataset (HARD) dataset with three window sizes of 3, 4, and 5, and 100 filters for each window size.
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It achieves the following results on the evaluation test set:
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- Accuracy:
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## Model description
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This 2dCNNhard model is a two-dimensional Convolutional Neural Network (2D-CNN) architecture trained from scratch on the Hotel Arabic Reviews Dataset (HARD) dataset with three window sizes of 3, 4, and 5, and 100 filters for each window size.
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It achieves the following results on the evaluation test set:
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- Accuracy:0.7495
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