| license: mit | |
| language: | |
| - en | |
| library_name: transformers | |
| tags: | |
| - multimodal | |
| - text-classification | |
| - image-classification | |
| - distilbert | |
| - vit | |
| - gated-fusion | |
| - digital-humanities | |
| # Prosody Page Classifiers | |
| Three finetuned models for binary page classification in the | |
| [Princeton Prosody Archive](https://prosody.princeton.edu/) corpus. Labels are | |
| `TU` (0) and `non-TU` (1). Each subfolder is independently loadable | |
| — use whichever modality you have inputs for. | |
| | Folder | Model | | |
| |--------|-------| | |
| | `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. | |