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
File size: 772 Bytes
e9232c8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | 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
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