Instructions to use baylitoo/layoutxlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baylitoo/layoutxlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="baylitoo/layoutxlm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("baylitoo/layoutxlm") model = AutoModelForTokenClassification.from_pretrained("baylitoo/layoutxlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
3fff79e -
Training in progress, step 2400
aa5530c -
Training in progress, step 2200
ca4eccb -
Training in progress, step 2000
ab02dc4 -
Training in progress, step 1800
e792fda -
Training in progress, step 1600
d1c0e00 -
Training in progress, step 1400
3de3127 -
Training in progress, step 1200
13ac257 -
Training in progress, step 1000
17e0148 -
Training in progress, step 800
2f7fa44 -
Training in progress, step 600
eaaf78a -
Training in progress, step 400
cf97c02 -
Training in progress, step 200
bf98620
-
initial commit
2d83e41