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real-jiakai/my_awesome_qa_model
my_awesome_qa_model is a question answering model from real-jiakai. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
This model is a fine-tuned version of distilbert-base-uncased, trained on the SQuAD v1.1 dataset.
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From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased, trained on the SQuAD v1.1 dataset.
It achieved the following results on the validation set:
from transformers import pipeline
# Load the model
question_answerer = pipeline(
"question-answering",
model="real-jiakai/my_awesome_qa_model",
tokenizer="real-jiakai/my_awesome_qa_model"
)
# English example
context_en = """
Donald Trump was the 45th president of the United States, serving from 2017 to 2021.
"""
question_en = "Who was the 45th president of the United States?"
result_en = question_answerer(question=question_en, context=context_en)
print("Answer:", result_en['answer'])
This model is licensed under the MIT License.
If you use this model in your work, please cite:
@misc{my_awesome_qa_model,
author = {real-jiakai},
title = {my_awesome_qa_model},
year = {2024},
url = {https://huggingface.co/real-jiakai/my_awesome_qa_model},
publisher = {Hugging Face}
}