Instructions to use blaze999/Medical-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blaze999/Medical-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="blaze999/Medical-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("blaze999/Medical-NER") model = AutoModelForTokenClassification.from_pretrained("blaze999/Medical-NER") - Inference
- Notebooks
- Google Colab
- Kaggle
Entity Tags defintions
#7
by YasinBraining - opened
Hey, great work on this LLM, its really one of the best Medical NERs i could find here. I was just wondering, on base of what dictionary/definition was the entity tagging done? For some groups it is very obvious what words will fit in there, but for others it's certainly not. Is there some kind of defenition/dictionary?