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
| {"train": {"Content": 52466, "Section heading": 11762, "Advertisement": 52475, "Photograph or illustration": 1223, "Cartoon": 947, "Masthead, nameplate or running head": 5022, "Empty": 0}, "val": {"Content": 11245, "Section heading": 5295, "Advertisement": 11244, "Photograph or illustration": 538, "Cartoon": 422, "Masthead, nameplate or running head": 2246, "Empty": 0}, "test": {"Content": 11245, "Section heading": 5295, "Advertisement": 11244, "Photograph or illustration": 551, "Cartoon": 430, "Masthead, nameplate or running head": 2250, "Empty": 0}} |