Image Classification
Keras
English
transfer-learning
computer-vision
tensorflow
multiclass-classification
Instructions to use kkthyagharajan/KKT-HF-TransferLearning-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kkthyagharajan/KKT-HF-TransferLearning-Models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kkthyagharajan/KKT-HF-TransferLearning-Models") - Notebooks
- Google Colab
- Kaggle
Upload README.md
Browse filesInteractive Demo format fixed
README.md
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## π Interactive Demo App
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### π§© Option 1: Run directly on Hugging Face
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This Space includes a web app defined by `app.py`.
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### π» Option 2: Run locally using Gradio or Streamlit
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## π Repository Structure
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```
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KKT-HF-TransferLearning-Models/ β Root directory (your HF repo root)
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## π Interactive Demo App
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### π§© Option 1: Run directly on Hugging Face
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This Space includes a web app defined by `app.py`.
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### π» Option 2: Run locally using Gradio or Streamlit
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```bash
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pip install -r requirements.txt
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python app.py # or
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streamlit run app.py
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## π Repository Structure
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```
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KKT-HF-TransferLearning-Models/ β Root directory (your HF repo root)
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