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xablex/prosody_models

sourceHugging Facemitupdated 2mo agoView on Hugging Face
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Prosody Page Classifiers

Three finetuned models for binary page classification in the Princeton Prosody Archive corpus. Labels are TU (0) and non-TU (1). Each subfolder is independently loadable — use whichever modality you have inputs for.

FolderModel
distilbert-text/DistilBERT text classifier (text-only)
vit-image/ViT-base image classifier (image-only)
gated-fusion/Gated-fusion multimodal classifier (text + image)
  • `distilbert-text/` and `vit-image/` are standard Hugging Face repos (AutoModelForSequenceClassification / AutoModelForImageClassification).
  • `gated-fusion/` is a custom multimodal model; load it via the bundled modeling_gatedfusion.py (see that folder's README).

See each subfolder's README.md for a copy-paste usage snippet.