Update README.md

README.md

@@ -2,23 +2,39 @@
 tags:
 - autotrain
 - text-classification
+- healthcare
+- sdoh
+- social determinants of health
 language:
 - en
 widget:
-- text: "The Patient is homeless"
-- text: "The pt misuses prescription medicine"
-- text: "The patient often goes hungry because they can't afford enough food"
-- text: "The patient's family is struggling to pay the rent and is at risk of being evicted from their apartment"
-- text: "The patient lives in a neighborhood with poor public transportation options"
-- text: "The patient was a victim of exploitation of dependency, causing them to feel taken advantage of and vulnerable"
-- text: "The patient's family has had to move in with relatives due to financial difficulties"
-- text: "The patient's insurance plan has annual limits on certain preventive care services, such as screenings and vaccines."
-- text: "The depression may be provoking the illness or making it more difficult to manage"
-- text: "Due to the language barrier, the patient is having difficulty communicating their medical history to the healthcare provider."
+- text: The Patient is homeless
+- text: The pt misuses prescription medicine
+- text: The patient often goes hungry because they can't afford enough food
+- text: >-
+    The patient's family is struggling to pay the rent and is at risk of being
+    evicted from their apartment
+- text: The patient lives in a neighborhood with poor public transportation options
+- text: >-
+    The patient was a victim of exploitation of dependency, causing them to feel
+    taken advantage of and vulnerable
+- text: >-
+    The patient's family has had to move in with relatives due to financial
+    difficulties
+- text: >-
+    The patient's insurance plan has annual limits on certain preventive care
+    services, such as screenings and vaccines.
+- text: >-
+    The depression may be provoking the illness or making it more difficult to
+    manage
+- text: >-
+    Due to the language barrier, the patient is having difficulty communicating
+    their medical history to the healthcare provider.
 datasets:
 - reachosen/autotrain-data-sdohv7
 co2_eq_emissions:
   emissions: 0.01134763220649804
+pipeline_tag: text-classification
 ---
 
 # Model Trained Using AutoTrain
@@ -62,4 +78,4 @@ tokenizer = AutoTokenizer.from_pretrained("reachosen/autotrain-sdohv7-3701198597
 inputs = tokenizer("The Patient is homeless", return_tensors="pt")
 
 outputs = model(**inputs)
-```
+```