Instructions to use Jacquescv/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jacquescv/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Jacquescv/layoutlm-funsd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Jacquescv/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("Jacquescv/layoutlm-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 8
37bddc3 -
Training in progress, epoch 5
e6b46ef -
Training in progress, epoch 1
7004163
-
End of training
8829429 -
Training in progress, epoch 13
4b05056 -
Training in progress, epoch 9
2a2a12f -
Training in progress, epoch 6
d0bd54b -
Training in progress, epoch 3
2e36c12 -
Training in progress, epoch 1
823df15