Instructions to use justinhcss/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use justinhcss/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="justinhcss/layoutlm-funsd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("justinhcss/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("justinhcss/layoutlm-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
24616b2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5dc747ec2a09db62d92ff28b81e57b8b8eee4b0a7caa6110900df591ed61ba0d
size 4536
|