Instructions to use navodPeiris/layoutlmv2-document-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use navodPeiris/layoutlmv2-document-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="navodPeiris/layoutlmv2-document-classifier")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("navodPeiris/layoutlmv2-document-classifier") model = AutoModelForSequenceClassification.from_pretrained("navodPeiris/layoutlmv2-document-classifier") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
f4e0e48 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1cd63c02b93f2ac80b5e57f7422f44b93b004f810e2f190e473e7d489d2a2aeb
size 5368
|