Instructions to use marcodifelice/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcodifelice/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="marcodifelice/layoutlm-funsd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("marcodifelice/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("marcodifelice/layoutlm-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
2f637a7 -
Training in progress, epoch 14
560b726 -
Training in progress, epoch 12
d65020b -
Training in progress, epoch 10
abcb6d5 -
Training in progress, epoch 8
2cefa07 -
Training in progress, epoch 6
06edbd7 -
Training in progress, epoch 5
c84fb56 -
Training in progress, epoch 3
8ae4be5 -
Training in progress, epoch 1
00825b8