vit-image/README.md

Prosody ViT Image Classifier

Fine-tuned google/vit-base-patch16-224 for binary page classification in the Princeton Prosody Archive corpus, using the scanned page image only.

• Classes: TU (0), non-TU (1)
• Architecture: ViTForImageClassification (HF-native)

from transformers import AutoModelForImageClassification, AutoImageProcessor
from PIL import Image
import torch

model = AutoModelForImageClassification.from_pretrained("./vit-image")
proc  = AutoImageProcessor.from_pretrained("./vit-image")

img = Image.open("page.png").convert("RGB")
inp = proc(img, return_tensors="pt")
with torch.no_grad():
    probs = model(**inp).logits.softmax(-1)[0]
print({model.config.id2label[i]: float(p) for i, p in enumerate(probs)})