Token Classification
Transformers
PyTorch
English
layoutlmv3
Generated from Trainer
token_classifier
layout_analysis
Eval Results (legacy)
Instructions to use Mit1208/layoutlmv3-finetuned-DocLayNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mit1208/layoutlmv3-finetuned-DocLayNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mit1208/layoutlmv3-finetuned-DocLayNet")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Mit1208/layoutlmv3-finetuned-DocLayNet") model = AutoModelForTokenClassification.from_pretrained("Mit1208/layoutlmv3-finetuned-DocLayNet") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
894bf53 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a9c7105164f8644330585f2a48af488d7b60b4cb5454cb21dcd8a73291ad90b9
size 503783089
|