Update README.md

README.md

@@ -24,6 +24,32 @@ widget:
 - This is a fine-tuned checkpoint of `allenai/scibert_scivocab_uncased` for document section text classification
 - possible document section classes are:BACKGROUND, CONCLUSIONS, METHODS, OBJECTIVE, RESULTS, 
 
+
+## usage in python
+
+install transformers as needed: `pip install -U transformers`
+
+run the following, changing the example text to your use case:
+
+```
+from transformers import pipeline
+
+model_tag = "ml4pubmed/scibert-scivocab-uncased_pub_section"
+classifier = pipeline(
+              'text-classification', 
+              model=model_tag, 
+            )
+            
+prompt = """
+Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train.
+"""
+
+classifier(
+    prompt,
+) # classify the sentence
+
+```
+
 ## metadata