Learning to Revise References for Faithful Summarization
Paper • 2204.10290 • Published • 1
How to use griffin/clinical-summary-fact-corrector with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("griffin/clinical-summary-fact-corrector")
model = AutoModelForSeq2SeqLM.from_pretrained("griffin/clinical-summary-fact-corrector")YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.