# ASL Sign Language Classification Model

This model is trained to recognize American Sign Language (ASL) alphabets.

## Model Details

- Base Architecture: ResNet50
- Number of Classes: 29
- Test Accuracy: 0.9999

## Usage

```python
from transformers import AutoImageProcessor, AutoModelForImageClassification
from PIL import Image

model = AutoModelForImageClassification.from_pretrained('YOUR_USERNAME/asl-sign-language-classifier')
processor = AutoImageProcessor.from_pretrained('YOUR_USERNAME/asl-sign-language-classifier')

image = Image.open('path_to_image.jpg')
inputs = processor(images=image, return_tensors='pt')
outputs = model(**inputs)
predicted_class_idx = outputs.logits.argmax(-1).item()
```