| language: | |
| - en | |
| tags: | |
| - medical | |
| pipeline_tag: fill-mask | |
| mask_token: "[MASK]" | |
| widget: | |
| - text: "This research study is studying a combination of drugs as a possible treatment for metastatic triple-negative [MASK] cancer." | |
| example_title: "Trial Summary" | |
| - test: "Participants must have histologically or cytologically confirmed invasive breast cancer, with metastatic [MASK]." | |
| example_title: "Inclsusion Criteria" | |
| ### GatorTron-OG-breast-cancer | |
| GatorTron-OG domain adapted on a set of breast cancer studies from [the U.S. National Library of Medicine](https://clinicaltrials.gov/ct2/home) meeting the following criteria: | |
| - study is an interventional trial | |
| - study status is listed as completed | |
| ```python | |
| from transformers import AutoModel, AutoTokenizer | |
| model_name = "AshtonIsNotHere/GatorTron-OG-breast-cancer" | |
| tokenizer = AutoTokenizer.from_pretrained( | |
| model_name, | |
| padding="max_length", | |
| truncation=True, | |
| ) | |
| model = AutoModelForMaskedLM.from_pretrained( | |
| model_name | |
| ) | |
| ``` |