Instructions to use BadreddineHug/LayoutLMv3_large_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BadreddineHug/LayoutLMv3_large_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BadreddineHug/LayoutLMv3_large_1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("BadreddineHug/LayoutLMv3_large_1") model = AutoModelForTokenClassification.from_pretrained("BadreddineHug/LayoutLMv3_large_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 2000
c688f08 -
Training in progress, step 1500
398b40f -
Training in progress, step 1000
1111879 -
Training in progress, step 500
d187a7e -
Training in progress, step 1000
c7217f2 -
Training in progress, step 500
7194786