# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("lqbin/videberta-xsmall_batch24_epoch30v6")
model = AutoModelForQuestionAnswering.from_pretrained("lqbin/videberta-xsmall_batch24_epoch30v6")Quick Links
Model Description
I fineturned it from https://huggingface.co/Fsoft-AIC/videberta-xsmall. I am using it for relation extraction task (information extraction).
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="lqbin/videberta-xsmall_batch24_epoch30v6")