Learning to Revise References for Faithful Summarization
Paper • 2204.10290 • Published • 1
How to use griffin/redress-clinical-hallucination-generator with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("griffin/redress-clinical-hallucination-generator")
model = AutoModelForSeq2SeqLM.from_pretrained("griffin/redress-clinical-hallucination-generator", device_map="auto")YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
HuggingFace Model Weights for the Clinical Text Hallucination Generator described in EMNLP Findings '22 paper "Learning to Revise References for Faithful Summarization"