Text Classification
Model2Vec
Safetensors
static-embeddings
newspaper-classification
crop-classification
historical-newspapers
newspapers
Instructions to use institutional/institutional-newspapers-crop-classifier-text-model2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use institutional/institutional-newspapers-crop-classifier-text-model2vec with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("institutional/institutional-newspapers-crop-classifier-text-model2vec") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -21,7 +21,7 @@ A text-based classifier that categorizes crops extracted from historical newspap
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We recommend using this model alongside [`institutional/institutional-newspapers-crop-classifier-image-yolo26m-cls`](https://huggingface.co/institutional/institutional-newspapers-crop-classifier-image-yolo26m-cls), as neither visual nor textual signal alone is sufficient to classify newspaper crops accurately.
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**More information:**
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**See also:**
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- 🗂️ [Institutional Newspapers Collection](https://huggingface.co/collections/institutional/institutional-newspapers)
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We recommend using this model alongside [`institutional/institutional-newspapers-crop-classifier-image-yolo26m-cls`](https://huggingface.co/institutional/institutional-newspapers-crop-classifier-image-yolo26m-cls), as neither visual nor textual signal alone is sufficient to classify newspaper crops accurately.
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**More information:**
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- 📄 [Full analysis available in our technical report](https://arxiv.org/abs/2608.18972)
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**See also:**
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- 🗂️ [Institutional Newspapers Collection](https://huggingface.co/collections/institutional/institutional-newspapers)
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