Instructions to use gabehubner/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gabehubner/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gabehubner/layoutlm-funsd")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gabehubner/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("gabehubner/layoutlm-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature0b51dfc -
Training in progress, epoch 13
Verified signature3bb4b68 -
Training in progress, epoch 11
Verified signature8afb5b5 -
Training in progress, epoch 8
Verified signature3b12233 -
Training in progress, epoch 6
Verified signature43b4187 -
Training in progress, epoch 4
Verified signaturec77a3ae -
Training in progress, epoch 1
Verified signaturecc337f5 -
End of training
Verified signaturecd8a8ff -
Training in progress, epoch 13
Verified signature7aa0ad5 -
Training in progress, epoch 11
Verified signature9a4bd66 -
Training in progress, epoch 9
Verified signaturef7e09f7 -
Training in progress, epoch 7
Verified signaturef92eeb1 -
Training in progress, epoch 4
Verified signatured9ebe8a -
Training in progress, epoch 1
Verified signaturee2ae005