Instructions to use sowmyaiyer21/tetanus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sowmyaiyer21/tetanus 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://sowmyaiyer21/tetanus") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update src/requirements.txt
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Delete src/final_tetanus_model.keras
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Delete src/streamlit_app.py
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Add requirements for Streamlit + TensorFlow
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Add requirements for Streamlit + TensorFlow
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Load tetanus model from Hugging Face Hub
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Add tetanus keras model
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Upload folder using huggingface_hub
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initial commit
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