Upload emotion-detection-efficientnet-b2-v1.pth

"""# EfficientNet-B2 Emotion Detection (v1)

This model classifies facial emotions into 7 categories:
`angry`, `disgust`, `fear`, `happy`, `neutral`, `sad`, `surprise`.

**Architecture:** EfficientNet-B2
**Training Platform:** Kaggle GPU
**Accuracy:** ~80.25%
**Framework:** PyTorch
**Developer:** Varad V. Choudhari (Atman AI)
**License:** MIT

### Example Usage
```python
from huggingface_hub import hf_hub_download
path = hf_hub_download(
repo_id="AtmanAI/emotion-detection-efficientnet-b2-v1",
filename="efficientnet_b2_emotion_final.pth"
)

emotion-detection-efficientnet-b2-v1.pth

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