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
- Xet hash:
- c88baa9f31e3a388d11ef3afc650ebc2d9d601c59b4ab0076e5a7532f4eb3f1c
- Size of remote file:
- 7.51 MB
- SHA256:
- bd00345d84fdffc8c1f516ba458fbc55ca7c933364a7971523a0eb0f72c45fc0
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