Instructions to use emilyalsentzer/Bio_ClinicalBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilyalsentzer/Bio_ClinicalBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="emilyalsentzer/Bio_ClinicalBERT")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("emilyalsentzer/Bio_ClinicalBERT", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Detect temporal relation for clinical events
#1
by srishtimath22 - opened
Hi All, I am new to the healthcare domain. Currently trying to find that if we can use Clinical BERT or any other model to detect temporal relations for clinical events from clinical notes. Until now I have not found any open source model that can do this task. Suggestions and help would be really helpful. Thank you
fever
@srishtimath22 If you want to extract some temporal relations out of your clinical text, take a look at Google clinical NLP API it is pretty cheap and easy to use.