# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("Ching/negation_detector")
model = AutoModelForQuestionAnswering.from_pretrained("Ching/negation_detector")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
This question answering model was fine tuned to detect negation expressions
How to use:
question: negation
context: That is not safe!
Answer: not
question: negation
context: Weren't we going to go to the moon?
Answer: Weren't
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Ching/negation_detector")