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
| precision recall f1-score support | |
| Advertisement 0.95 0.94 0.95 11244 | |
| Cartoon 0.85 0.57 0.68 430 | |
| Content 0.90 0.96 0.93 11245 | |
| Masthead, nameplate or running head 0.93 0.86 0.89 2250 | |
| Photograph or illustration 0.63 0.38 0.48 551 | |
| Section heading 0.94 0.93 0.94 5295 | |
| accuracy 0.92 31015 | |
| macro avg 0.87 0.77 0.81 31015 | |
| weighted avg 0.92 0.92 0.92 31015 | |