rajpurkar/squad_v2
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How to use nbroad/deberta-v3-xsmall-squad2 with Transformers:
# Use a pipeline as a high-level helper
# Warning: Pipeline type "question-answering" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# pip install "transformers<5.0.0"
from transformers import pipeline
pipe = pipeline("question-answering", model="nbroad/deberta-v3-xsmall-squad2") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("nbroad/deberta-v3-xsmall-squad2")
model = AutoModelForQuestionAnswering.from_pretrained("nbroad/deberta-v3-xsmall-squad2", device_map="auto")Microsoft reports that this model can get 84.8/82.0 on f1/em on the dev set.
I got 81.5/78.3 but I only did one run and I didn't use the official squad2 evaluation script. I will do some more runs and show the results on the official script soon.