Instructions to use Tharwat-Elsayed/SpeachClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Tharwat-Elsayed/SpeachClassification with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Tharwat-Elsayed/SpeachClassification") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Tweet Tone Triage Technique (4T): A Secured Federated Deep Learning Approach
You can try at: https://tweet-tone-triage-technique-4t.streamlit.app/
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