Instructions to use uttam333/layoutlmv2-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uttam333/layoutlmv2-custom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="uttam333/layoutlmv2-custom")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("uttam333/layoutlmv2-custom") model = AutoModelForTokenClassification.from_pretrained("uttam333/layoutlmv2-custom") - Notebooks
- Google Colab
- Kaggle