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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
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()
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