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?

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']]})