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: 278 Bytes
e9232c8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | [
{
"idx": 0,
"name": "0",
"path": ".",
"type": "sentence_transformers.models.StaticEmbedding"
},
{
"idx": 1,
"name": "1",
"path": "1_Normalize",
"type": "sentence_transformers.models.Normalize"
}
] |