Instructions to use ncbi/MedCPT-Query-Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ncbi/MedCPT-Query-Encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ncbi/MedCPT-Query-Encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ncbi/MedCPT-Query-Encoder") model = AutoModel.from_pretrained("ncbi/MedCPT-Query-Encoder") - Inference
- Notebooks
- Google Colab
- Kaggle
| PUBLIC DOMAIN NOTICE | |
| National Center for Biotechnology Information | |
| This software/database is a "United States Government Work" under the terms of | |
| the United States Copyright Act. It was written as part of the author's | |
| official duties as a United States Government employee and thus cannot be | |
| copyrighted. This software/database is freely available to the public for use. | |
| The National Library of Medicine and the U.S. Government have not placed any | |
| restriction on its use or reproduction. | |
| Although all reasonable efforts have been taken to ensure the accuracy and | |
| reliability of the software and data, the NLM and the U.S. Government do not and | |
| cannot warrant the performance or results that may be obtained by using this | |
| software or data. The NLM and the U.S. Government disclaim all warranties, | |
| express or implied, including warranties of performance, merchantability or | |
| fitness for any particular purpose. | |
| Please cite the author in any work or product based on this material: | |
| Qiao Jin, Won Kim, Qingyu Chen, Donald C Comeau, Lana Yeganova, John Wilbur, Zhiyong Lu. | |
| MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval |