| import gradio as gr | |
| title = "PubMedBERT" | |
| description = "Gradio Demo for PubMedBERT. To use it, simply add your text, or click one of the examples to load them. Read more at the links below." | |
| article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2007.15779' target='_blank'>Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing</a> | <a href='https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext' target='_blank'>HF model page</a></p>" | |
| examples = [ | |
| ["[MASK] is a tumor suppressor gene."] | |
| ] | |
| gr.Interface.load("huggingface/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext",title=title,description=description,article=article, examples=examples,enable_queue=True).launch() | |