Instructions to use ritutweets46/layoutlm-funsd-again with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ritutweets46/layoutlm-funsd-again with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ritutweets46/layoutlm-funsd-again")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ritutweets46/layoutlm-funsd-again") model = AutoModelForTokenClassification.from_pretrained("ritutweets46/layoutlm-funsd-again", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload vocab.txt
Verified signature0ca7513 -
Create config.json
Verified signature7b23413 -
Upload 3 files
Verified signature02b36d2 -
Upload preprocessor_config.json
Verified signaturec89d5cb -
Training in progress, epoch 13
Verified signaturef64eb72 -
Training in progress, epoch 11
Verified signatured69652d -
Training in progress, epoch 9
Verified signature4ed44b9 -
Training in progress, epoch 7
Verified signature6b7cbbc -
Training in progress, epoch 4
Verified signaturef42130d -
Training in progress, epoch 1
Verified signature394b410 -
initial commit
Verified signatureec0f95e