| language: en | |
| license: apache-2.0 | |
| tags: | |
| - MPNet | |
| datasets: shaina/covid19 | |
| dataset: | |
| - covid-19 | |
| # CoQUAD_MPNet : MPNet model for COVID-19 | |
| ## Introduction | |
| It is a state-of-the-art language model for MPNet for Covid-19 dataset with focus on post-covid. | |
| ## How to use for Deepset Haystack | |
| ```python | |
| # Load data | |
| from datasets import load_dataset | |
| dataset = load_dataset("shaina/covid19") | |
| # Haystack pipeline | |
| !sudo apt-get install git-lfs | |
| !git lfs install | |
| !git clone https://huggingface.co/shaina/CoQUAD_MPNet | |
| GIT_LFS_SKIP_SMUDGE=1 | |
| from haystack.nodes import ElasticsearchRetriever | |
| retriever = ElasticsearchRetriever(document_store=document_store) | |
| reader = FARMReader(model_name_or_path="/content/drive/MyDrive/CoQUAD_MPNet", use_gpu=True) | |
| from haystack.pipelines import ExtractiveQAPipeline | |
| pipe = ExtractiveQAPipeline(reader, retriever) | |
| prediction = pipe.run( | |
| query="What is post-COVID?", params={"Retriever": {"top_k": 10}, "Reader": {"top_k": 5}} | |
| ) | |
| from pprint import pprint | |
| pprint(prediction) | |
| ``` | |
| --- | |
| ## Authors | |
| Shaina Raza | |
| --- |