You trained a text classification model. You have the following SignatureDefs: 

You started a TensorFlow-serving component server and tried to send an HTTP request to get a prediction using: headers = {"content-type": "application/json"} json_response = requests.post(`http: //localhost:8501/v1/models/text_model:predict`, data=data, headers=headers) What is the correct way to write the predict request? 

Answer options:

A. data = json.dumps({signature_name: seving_default, instances [[˜ab`, ˜bc`, ˜cd`]]})
B. data = json.dumps({signature_name: serving_default, instances [[˜a`, ˜b`, ˜c`, ˜d`, ˜e`, ˜f`]]})
C. data = json.dumps({signature_name: serving_default, instances [[˜a`, ˜b`, ˜c`], [˜d`, ˜e`, ˜f`]]})
D. data = json.dumps({signature_name: serving_default, instances [[˜a`, ˜b`], [˜c`, ˜d`], [˜e`, ˜f`]]})

C