Token Classification
Transformers
Safetensors
English
distilbert
named-entity-recognition
ner
invoice
document-extraction
business-documents
Instructions to use KrisMadeMe/flan-t5-base-invoice-trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KrisMadeMe/flan-t5-base-invoice-trained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KrisMadeMe/flan-t5-base-invoice-trained")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KrisMadeMe/flan-t5-base-invoice-trained") model = AutoModelForTokenClassification.from_pretrained("KrisMadeMe/flan-t5-base-invoice-trained") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!