Instructions to use EphronM/layoutlmv3-finetuned-wildreceipt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EphronM/layoutlmv3-finetuned-wildreceipt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EphronM/layoutlmv3-finetuned-wildreceipt")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("EphronM/layoutlmv3-finetuned-wildreceipt") model = AutoModelForTokenClassification.from_pretrained("EphronM/layoutlmv3-finetuned-wildreceipt") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForTokenClassification
processor = AutoProcessor.from_pretrained("EphronM/layoutlmv3-finetuned-wildreceipt")
model = AutoModelForTokenClassification.from_pretrained("EphronM/layoutlmv3-finetuned-wildreceipt")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EphronM/layoutlmv3-finetuned-wildreceipt")