Create QA_Tensorflow

QA_Tensorflow

@@ -0,0 +1,19 @@
+from transformers import AutoTokenizer, TFAutoModelForQuestionAnswering
+
+import tensorflow as tf
+
+checkpoint = "distilbert-base-cased-distilled-squad"
+tokenizer = AutoTokenizer.from_pretrained(checkpoint)
+model = TFAutoModelForQuestionAnswering.from_pretrained(checkpoint)
+
+def question_answering_tf(question, context):
+  inputs = tokenizer(question, context, return_tensors="tf")
+  #print(inputs["input_ids"])
+  #print(tokenizer.decode(inputs["input_ids"][0]))
+  outputs = model(inputs)
+  #print(outputs.start_logits)
+  #print(outputs.end_logits)
+  start_index = int(tf.math.argmax(outputs.start_logits, axis=-1)[0])
+  end_index = int(tf.math.argmax(outputs.end_logits, axis=-1)[0])
+  print(start_index, end_index)
+  return tokenizer.decode(inputs["input_ids"][0][start_index: end_index+1])