Instructions to use psh3333/document_classification_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psh3333/document_classification_V3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("psh3333/document_classification_V3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9755e0c64171613a255018acb3314c4ef76f8f0aecb2bdb2d96369c28c6cbe75
- Size of remote file:
- 11.4 MB
- SHA256:
- fda43f88f554227dcbc947da21a239a1742f0b4a68e6a6e7c1e7894d656a657c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.