Update README.md

This model is based our work that finetunes a lightweight model (Llama3.1-8B-instruct) from synthetic labels. There are two sources of label: labels generated by GPT and labels generated by a rule based system (Negbio). Arxiv: https://arxiv.org/abs/2409.16563.

The model has two functionalities. The first is to detect entities in a radiology report that can be related with an ICD-10 code. The second is to detect diseases out of 14 candidates. The candidate diseases are: [Atelectasis, Cardiomegaly, Consolidation, Edema, Enlarged Cardiomediastinum, Fracture, Lung Lesion, Lung Opacity, Pleural Effusion, Pleural Other ,Pneumonia, Pneumothorax, Support Devices].

README.md

@@ -1,3 +1,10 @@
----
-license: mit
----
+---
+license: mit
+language:
+- en
+base_model:
+- meta-llama/Llama-3.1-8B-Instruct
+pipeline_tag: text-classification
+tags:
+- medical
+---