vxbrandon

/

pruned_model

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# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("question-answering", model="vxbrandon/pruned_model")

# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering

tokenizer = AutoTokenizer.from_pretrained("vxbrandon/pruned_model")
model = AutoModelForQuestionAnswering.from_pretrained("vxbrandon/pruned_model")