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| license: mit |
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| # Xception Model for Emotion Recognition |
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| This model is based on the **Xception** architecture and trained on the **FER2013** dataset and **CK+** for **emotion recognition**. |
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| ## Model Details |
| - **Architecture**: Xception |
| - **Input Shape**: (48, 48, 1) |
| - **Output Shape**: 7 classes (emotion categories) |
| - **Pretrained on**: FER2013 dataset (Augmented) |
| - **File Type**: `.h5` |
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| ## How to Use the Model |
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| ### Using the Hugging Face Inference API: |
| You can use this model directly through the **Hugging Face Inference API**. Here's an example of how to use it: |
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| ```python |
| from transformers import pipeline |
| |
| # Replace with the model's name on Hugging Face |
| model_name = "lama9876/Xception-Model" |
| |
| # Load the model using the pipeline |
| model = pipeline('image-classification', model=model_name) |
| |
| # Make a prediction (replace with the path to your image) |
| result = model("path_to_image.jpg") |
| print(result) |
