metadata
license: mit
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)