lama9876/Xception-Model

Xception Model for Emotion Recognition

This model is based on the Xception architecture and trained on the FER2013 dataset and CK+ for emotion recognition.

Model Details

• Architecture: Xception
• Input Shape: (48, 48, 1)
• Output Shape: 7 classes (emotion categories)
• Pretrained on: FER2013 dataset (Augmented)
• File Type: .h5

How to Use the Model

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:

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)