Update README.md

README.md

@@ -44,8 +44,8 @@ model_name = "batterydata/bert-base-cased-squad-v1"
 # a) Get predictions
 nlp = pipeline('question-answering', model=model_name, tokenizer=model_name)
 QA_input = {
-    'question': 'Why is model conversion important?',
-    'context': 'The option to convert models between FARM and transformers gives freedom to the user and let people easily switch between frameworks.'
+    'question': 'What is the electrolyte?',
+    'context': 'The typical non-aqueous electrolyte for commercial Li-ion cells is a solution of LiPF6 in linear and cyclic carbonates.'
 }
 res = nlp(QA_input)
 # b) Load model & tokenizer